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The Role: This position offers a fast-paced environment with a strong team of diverse engineers that are central in building Arine's data platform. You will have the opportunity to have a direct impact on the infrastructure and delivery of our core enterprise data offerings by having ownership over end-to-end data pipelines. You will have the opportunity to have a direct impact on the infrastructure and delivery of our core enterprise data offerings by having ownership over end-to-end data pipelines. Are You a Good Fit?: The Data Engineer will be responsible for various data pipelines, data ingesting, and integration platforms. This role will work in close collaboration with technical stakeholders to optimize processes to ingest large enterprise healthcare datasets and build novel healthcare data pipelines. This position will support, maintain, and develop software using a variety of different tools including Snowflake, Python, Pandas, Pyspark, SQL, and the AWS stack. What You'll be Doing: Writing production level Python and Snowflake SQL for ETL pipelines Writing and integrating data unit tests as part of the data pipelines' development and deployment Using AWS services and technologies for application deployments to data APIs Who You Are and What You Bring: 4+ years of professional experience working with data Experience creating an automated ETL process using Python, Snowflake, and SQL Experience with data processing, validation, cleaning, and debugging data sets Experience with building production grade ETL pipelines A demonstrable and deep understanding of healthcare / healthcare claims data Experience with AWS frameworks (i.e. S3, DynamoDB, Batch, Step Functions) Experience with processing large data sets (over 1GB) Excellent verbal and written communication skills Remote Work Requirements: An established private work area that ensures information privacy A stable high-speed internet connection for remote work Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. The posted range represents the expected base salary for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The base salary range for this position is: $120,000-150,000/year.

Data Specialist Employment Type:Full-Time, Mid-Level /p> Department: Data Science As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions. Downloading files from our file sharing tool, JEFS, and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case - Manager and other IT individuals as requested Qualifications: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $61,152 - $82,992 a year

The Business Data Product Owner serves as a pivotal link between business needs and technical solutions, focusing on managing data as a strategic asset across the enterprise. This role involves overseeing specific data domains and ensuring that data products within these domains align with company objectives and deliver actionable insights. The Business Data Product Owner is responsible for the end-to-end lifecycle of data domains/products, from data analysis and profiling to strategy development and implementation, ensuring they drive business value and scalability. ESSENTIAL FUNCTIONS Data Domain and Product Management Take ownership of specific data domains, understanding their role within the broader enterprise architecture and ensuring their alignment with business strategies. Develop and maintain a deep understanding of the data within these domains, including its sources, structures, and interrelationships. Collaborate with stakeholders and the data program to assist in defining domain-specific data governance policies, ensuring data quality and consistency. Define and communicate a clear vision and roadmap for data products within the domain, ensuring alignment with business objectives and user needs. Prioritize and manage the product backlog, focusing on delivering features that provide the highest business value. Collaborate with data engineers, analysts, and other technical teams to design and develop scalable data solutions. Data Analysis Conduct comprehensive data profiling and analysis to assess the quality, completeness, and potential use of existing and new datasets within the domain. Quickly evaluate data sets to determine their suitability for addressing business objectives, identifying gaps, and proposing solutions to enhance data utility. Utilize data analytics and visualization tools to interpret trends and patterns, providing insights that inform business decisions. General Act as a liaison between business stakeholders and technical teams, effectively translating business requirements into technical specifications and vice versa. Present proposals, findings, and recommendations to senior management and stakeholders to gain buy-in and support for data initiatives. Facilitate cross-functional collaboration to ensure data products meet diverse business needs and promote data-driven processes and decision-making. Identify opportunities to streamline data-related processes, enhance data workflows, and optimize systems to improve operational efficiency and effectiveness. Advocate for and implement best practices in data management, promoting a culture of continuous improvement and innovation. Evaluate risks associated with data products and propose strategies to mitigate potential issues, ensuring stability and resilience of data solutions. Performs compliance and risk management duties as required or assigned. KNOWLEDGE/SKILLS/EXPERIENCE REQUIRED Bachelor's degree in MIS, Computer Science, Business/Finance, or similar field required or related equivalent professional experience. Handles pressure in a fast-paced environment with competing priorities and aggressive deadlines. Demonstrated proficiency with various applications and tools, including the Microsoft Office suite of products, spreadsheets, word processing, database, email, networking, development tools/languages, Internet applications and collaboration tools such as SharePoint and OneNote. Strong attention to process improvement to ensure scale and efficiency. Can navigate between details and high-level concepts while managing distractions and staying focused on the most valuable work. Demonstrated self-motivation and initiative; ability to work well both independently and with others. Excellent interpersonal skills: ability to collaborate with and work effectively with diverse groups of people, managing conflict and negotiating for results when needed. Strong communication skills; ability to analyze, synthesize and articulate complex ideas to multiple levels of the organization; technical writing skills as needed for documentation. Preferred experience working in the financial services industry. Professional Experience In One Or More Of The Following Areas Analytics and Reporting Application Development Application Integration SQL Server: T-SQL Scripting SSRS (Paginated Reporting) Microsoft 365: Office Suite- Special focus on being an advanced Excel user. SharePoint- Understands difference between on premise and cloud functionality. Power Platform: Power BI Intermediate to advanced data modeling and data visualization experience Familiar with DAX and Power Query Power BI Service/Fabric Power Automate Understands use cases and what is possible. Created and managed flows in production environment. Power Apps Understands use cases and what is possible. Created and managed apps in production environment. Compensation: $35.12 - $52.67 per hour The compensation range represents the low and high end of the base compensation range for this position located in Spokane, WA. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. This position is also eligible to participate in an applicable annual bonus. What Our Culture Can Offer You: Our benefit philosophy is to provide you with a comprehensive package to secure your overall wellness and help you become and remain a fulfilled and productive employee. Our benefits include Health, Financial, Retirement and Work/Life Benefits. We are proud to share an overview of our benefits HERE as part of your total compensation. Washington Trust Bank celebrates diversity in the workplace and actively recruits talent to help reflect the unique communities where we live and work. We are proud to be an equal opportunity employer and prohibit discrimination or harassment based on race, religion, sex, gender identity, sexual orientation, national origin, age, pregnancy, disability, genetic information and any other protected characteristics outlined by state, federal and local laws. We believe strength comes from the diverse backgrounds and experiences of our team, and we are dedicated to fostering a supportive and inclusive work environment.

Data Entry Technician Employment Type:Full-Time, Mid-Level /p> Department: Legal As a Data Entry Technician for CGS, you will maintain the database by entering and updating customer and account information. The ideal candidate should be a savvy typist as well as excellent skills in overseeing data. The integrity of data is of utmost importance and CGS is looking for someone who is detail-oriented and is comfortable working in a fast-paced environment. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Work collaboratively with other team members and supervisors to ensure that best practices are shared. Procure data through observation, interviews, and analysis of records and other sources to include the utilization of electronic equipment. Maintain databases by entering new and updated records and related information. Verifies data and prepares materials for pdf printing. Maintain data entry requirements by following data program techniques and procedures. Purges files to eliminate duplication of data. Qualifications: Bachelor's degree in computer science or related field. 1+ year of Data Entry Experience. 3+ years of MS Office experience. Excellent typing skills. Excellent communication skills. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and delivering the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $27,178.67 - $34,944 a year

Industry/Sector Not Applicable Specialism Oracle Management Level Senior Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Oracle Data and Analytics team you are expected to manage data strategy, data roadmap, data governance, and data solution implementation projects. As a Senior Manager you are responsible for leading large projects, innovating processes, and maintaining operational excellence while interacting with clients at a senior level to drive project success. You are also responsible for building trust with multi-level teams and stakeholders through open and honest conversation, motivating and coaching teams to solve complex problems. Responsibilities Lead data strategy, roadmap, and governance projects Oversee large projects to confirm successful delivery and client satisfaction Innovate processes to maintain operational excellence Engage with clients at a senior level to drive project outcomes Build trust and collaboration among diverse teams and stakeholders Encourage open and honest communication within the team Motivate and coach teams to solve complex problems Confirm the delivery of quality work through leadership What You Must Have Bachelor's Degree 7 years of experience What Sets You Apart Bachelor's Degree preferred Managing data strategy, data roadmap, data governance, and data solution implementation projects Experience utilizing, designing and leading data programs with one or more of the following products: Oracle OFSAA, Oracle ADW, Oracle FAW, OAC Leading a team of on and off-shore resources Analyzing end-to-end data flows and conducting hands-on data analysis Leading the design of improved data flows, data architecture, and data solutions Driving technology and data solution assessments Overseeing project timelines, risks and issues Managing consulting engagements pertaining to Data Architecture, Data Models design and implementation Designing cloud-based data and analytical solutions Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely, the Everyday Influencer Platform, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services. Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence), and Later, the best social media management platform (now Later Social) and first-to-market link in bio tool, Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We're trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI. Development at Later: We are builders and innovators on a mission to democratize the creator economy. At Later, you'll work alongside experts who are redefining what's possible in social commerce, tackling complex challenges from AI-powered content recommendations to systems that process billions of posts daily. While our standards are high and the work is demanding, we believe social media has unprecedented power to create economic opportunity for creators and businesses worldwide. This isn't just about building software - it's about empowering millions of entrepreneurs, creators, and businesses to transform their digital presence into sustainable growth. We're creating an accessible platform where anyone can thrive in the creator economy, from solopreneurs to global brands. You'll be challenged to think bigger and move faster than you ever have before. The problems we solve are complex, but for those who embrace the challenge, this will be the most meaningful work of your career. Our vision is ambitious: to empower 1 billion people to make a living through their creativity by putting powerful, intuitive tools in their hands. If you believe in democratizing digital marketing, enabling authentic connections, and building technology that creates real economic opportunity, Later is where your expertise will make a difference. Let's shape the future of social commerce together. About this position: As a Senior Data Engineer at Later, you will play a crucial role in building and optimizing our data warehouse, providing a tremendous opportunity to shape our data infrastructure and support our rapid growth. You will design, implement, and maintain robust data pipelines and architectures that facilitate efficient data processing and real-time analytics. Collaborating with engineers, data partners, and stakeholders, you will leverage cloud technologies in developing impactful data solutions that transform raw data into actionable insights. What you'll be doing: Data Warehouse Development: Design and build a robust data warehouse architecture. Data Pipeline Development: Design, build, and maintain scalable data pipelines for both batch and real-time processing, ensuring high availability and reliability. Transformation Layer: Develop reliable transformation layers and data pipelines from ambiguous business processes using tools like DBT. Data Architecture & Streaming: Establish optimized data architectures using cloud technologies, and implement both batch and streaming data processing systems. Data Quality & Governance: Enforce data quality checks and governance practices to maintain data integrity and compliance. Cross-Functional Collaboration: Work with data scientists, product managers, and business stakeholders to understand data needs and deliver actionable insights. Performance Optimization: Analyze and optimize data pipelines for performance and cost-effectiveness. We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply Years of Experience: Minimum of 5 years in data engineering or related fields, with a strong focus on building data infrastructure and pipelines. Education: Bachelor's degree in Computer Science, Engineering, or a related technical field; advanced degree preferred. How you work: You're proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes. Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results. Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics. Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support. You share insights to help the team stay ahead and make informed decisions. You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you. You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration. Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range: 160,000 - 190,000 USD #LI-Hybrid Where we work We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. Diversity, inclusion, and accessibility At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: Are you ready to bring your data expertise to the world's most exciting hospitality and entertainment brand? At MGM Resorts, we create extraordinary experiences for our guests-and our team members are the foundation of our success. As a Senior Manager, Data Asset, you will play a pivotal role in ensuring the integrity, consistency, and accessibility of our Pricing Team's data assets, driving insights that fuel our business strategies and revenue growth. THE DAY-TO-DAY: Act as a key liaison between technical teams and business users, transforming data capabilities into actionable insights. Advocate for customer needs in data-related decisions, aligning strategies with our revenue optimization goals. Develop and enforce data governance standards, ensuring compliance and data consistency across platforms. Collaborate with cross-functional teams to support innovative pricing models and revenue management initiatives. Manage the lifecycle of organizational data assets, maintaining their accuracy, accessibility, and alignment with business objectives. Lead workshops, gather stakeholder feedback, and continuously improve data practices. Utilize advanced analytics to identify opportunities that enhance data quality and business performance. THE IDEAL CANDIDATE: 5+ years in data asset management, governance frameworks, or analytics. Bachelor's degree in Data Science, Computer Science, Statistics, Economics, or a related field Strong knowledge of data governance frameworks and best practices. Proficiency with data integration, visualization, and quality assurance tools. Exceptional communication skills to engage both technical and non-technical audiences. Ability to thrive in a fast-paced, dynamic environment while managing multiple priorities. Experience with hospitality and revenue management systems (e.g., Opera, LMS, ACRC, Passkey) is a plus. THE PERKS & BENEFITS: Prioritize your wellness, access programs crafted to nurture your mental and physical health. Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! Savor delicious meals for free in our employee dining room. Park with ease-whether you're on or off shift, it's free! From healthcare to financial support and generous time-off options, we've got you covered. Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities. VIEW JOB DESCRIPTION: https://mgmresorts.marketpayjobs.com/ShowJob.Aspx?RequestID=d3a257d1bc20 Are you ready to JOIN THE SHOW? Apply today!

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About the Company Flow aims to create a superior living environment that enhances the lives of our residents and communities by developing, acquiring, owning, and managing multifamily apartment buildings and the services and technology inside those buildings. Fulfilling our mission will require an exceptional group of people whose collective output is greater than the sum of its individual parts. Our team members are energized by the opportunity to impact our residents' lives in meaningful ways. They are bold and creatively ambitious, driven by relentlessly high standards, act with a sense of urgency and accountability, and always, above all, operate with integrity, loyalty, and trust. About the Role We are seeking a Senior Data Analyst to join our dynamic team and join our efforts in turning data into actionable insights that support strategic decisions and drive business performance. As a data analyst at Flow, you will be responsible for creating metrics to validate performance, storytelling through data visualizations, and communicating findings to stakeholders across the organization. Also, you will have an opportunity to build a data culture from the ground up. This position is based in our NYC office with an expectation of an onsite presence. #flowlife Responsibilities Drive the development and implementation of data analyses, models and statistical techniques to uncover insights, trends and opportunities Design, build and maintain complex data dashboards and reports using enterprise business intelligence tools to present actionable insights to business leaders and stakeholders Collaborate with cross-functional teams to define key performance indicators (KPIs), gather data requirements, and ensure accurate and relevant data presentations Provide guidance on data analysis techniques, tools, and best practices Ideal Background 5-10 years of experience in data analysis or related field with a proven track record of leveraging data to drive business outcomes, plus if you have worked within a start-up Excellent analytical and statistical skills Expert proficiency in SQL and Python / Pandas Strong data visualization skills and ability to present insights from analysis - previous experience with enterprise business intelligence tools, such as Sigma, Tableau, Looker Exceptional ability to clearly articulate data analyses,, both verbally and in written form A team player who can easily adapt and be flexible with a wide scope of responsibilities Strong work ethic and unwavering commitment to achieving goals Proven ability to take initiative, operate independently, and act like an owner Experience building in fast-moving environments and a strong desire to thrive in an early stage startup Inherent curiosity and analytical follow-through - you can't help but ask "why?" and love using data and logic to explore potential solutions $120,000 - $170,000 a year Benefits Comprehensive benefits package (Medical / Dental / Vision / Disability / Life) Paid time off and 13 paid holidays 401(k) retirement plan Healthcare and Dependent Care Flexible Spending Accounts (FSAs) Access to HSA-compatible plans Pre-tax commuter benefits Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings Flow is proud to be an equal opportunity workplace and hires regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and/or expression, pregnancy, Veteran status any other characteristic protected by federal, state or local law. In addition, we provide reasonable accommodation for qualified individuals with disabilities.

Department EPIC - Climate Impact Lab (CIL) About the Department The Energy Policy Institute at the University of Chicago (EPIC) produces data-driven research that advances society's understanding of the global energy challenge and translates research insights into real-world impacts through strategic outreach and training for the next generation of global energy leaders. EPIC acts as an interdisciplinary hub for energy and environmental research across the University of Chicago. Combining the insights of economists, policy analysts and business experts with the technical expertise of engineers and scientists, EPIC's faculty affiliates work together to bring robust, cross-cutting research to the forefront of the global energy debate. Job Summary This role participates in scientific research projects. Ensures compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives and mandates. Analyzes possible solutions using standard procedures. Writes articles, reports and manuscripts. Assists in drafting presentations on research findings. Successful candidates will work with the Climate Impact Lab, a unique collaboration of experts -economists, climate scientists, and computational scientists- working to build data-driven estimates of the local and global costs of climate change. Our research involves using econometric methods and globally comprehensive data to quantify the impacts of climate change sector-by-sector, community-by-community around the world. It will allow decision-makers in the public and private sectors to understand the risks climate change presents and mitigate those risks through smarter investments and public policy. The research has also been used to produce the world's first empirically-derived estimate of the social cost of carbon - the cost to society from each ton of carbon dioxide emitted. This figure will be continuously updated as research progresses and can serve as the basis for energy and climate policies. Responsibilities Develops and enhances climate and impact research tools. Manages and optimizes petabyte-scale data storage systems. Collaborates with researchers for new analyses with large datasets. Trains research assistants in tool usage and provides support. Oversees code management and organization within the lab. Ensures efficient data storage accessibility and integrity. Contributes insights to research and produces output for policymakers. Develops, maintains, and extends computational tools and data storage systems for climate and impact research. Supports researchers in conducting new analyses by working with petabyte-scale in multiple computing environments. Trains research assistants in the use of new and existing computational tools. Acts as a point of contact for code management and data storage at the Lab. Contributes to research on the impacts of climate change. Produces output for policymakers and publication in media outlets. Supports data collection and analytical needs of research projects. Conducts literature reviews and helps write reports and manuscripts. Ensures project compliance with different policies, procedures, directives, and mandates. Takes responsibility for the following non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects. Acquires higher-level skills and knowledge in the process. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Bachelor's degree in a related field. Experience: Background in research-related work in economics, climate science, data science, computer science, or a similar quantitative field is highly desirable. Statistics or econometrics training. Technical Skills or Knowledge: Strong background in Python; data analysis tools (pandas, xarray), climate data storage formats, such as NetCDF and Zarr. Familiarity with version control (git). Basic skills with geospatial and temporal data visualization. Strong background in distributed computing tools (dask). High-performance computing clusters. Linux command line/bash scripting. Familiarity with R and/or STATA. Preferred Competencies Strong communication skills. Strong multi-disciplinary collaboration skills. Train team members with software tools. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $70,000.00 - $90,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Preferred Qualifications Demonstrates abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet the current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing; Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Design and manage data warehouses and data lakes, ensuring data is organized and accessible; Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Job Overview: We are seeking a highly skilled and proactive Data Management Operations Specialist to join our Data Management team in the insurance industry. This individual will play a critical role in supporting the Data Management Strategy and Operations Leader by overseeing the daily operations of our data management processes, ensuring the accuracy, accessibility, and compliance of data, and implementing strategic initiatives aimed at optimizing data governance and quality. This is a unique opportunity to work closely with senior leadership and contribute to the evolution of data management within a fast-paced and highly regulated industry. Key Responsibilities: Support Data Operations: Assist in managing the end-to-end data lifecycle, from data acquisition and processing to storage, usage, and retirement. Ensure consistent, high-quality data availability across business units. Data Governance and Compliance: Collaborate with the Data Governance team to ensure that data practices are in line with regulatory requirements (e.g., GDPR, HIPAA, and industry-specific standards) and organizational policies. Data Quality Assurance: Monitor and maintain data integrity and consistency across various systems. Identify and address data quality issues, collaborating with technical teams for remediation. Data Reporting & Analytics: Support the generation of data reports for both operational and strategic decision-making. Analyze data trends and patterns to provide actionable insights. Process Optimization: Continuously evaluate data management workflows and recommend improvements to streamline processes, enhance data accessibility, and reduce manual effort. Collaboration: Act as a liaison between technical teams, business stakeholders, and leadership to ensure alignment on data management objectives, projects, and outcomes. Documentation & Training: Maintain comprehensive documentation for data management processes, workflows, and policies. Provide training and support to staff on best practices related to data usage and governance. Technology Integration: Assist in the integration of new data management tools and technologies to improve operational efficiency and data governance standards. Functional Skills: Data Management & Governance: Strong understanding of data management principles, including data classification, data lineage, data security, and data privacy, with the ability to apply them in a regulated industry. Business Process Management: Knowledge of insurance industry operations, with the ability to translate business requirements into actionable data management strategies and improvements. Compliance & Regulatory Knowledge: Familiarity with industry regulations such as GDPR, HIPAA, and Solvency II, ensuring data management practices are compliant with legal standards. Stakeholder Communication: Effective communication skills to collaborate across departments and manage expectations, ensuring alignment on data-related objectives. Problem-Solving & Analytical Thinking: Ability to identify inefficiencies or risks in data management processes and develop solutions to mitigate them. Technical Skills: Data Management Tools: Proficiency in data management platforms (e.g., Informatica, Talend, Collibra, Alteryx) and business intelligence tools (e.g., Tableau, Power BI, Qlik). Da tabase Knowledge: Familiarity with relational databases (SQL Server, Oracle, DB2) and big data technologies (e.g., Hadoop, Spark) to assist in data operations and troubleshooting. Data Modeling & ETL: Experience with data modeling, ETL processes, and data warehousing techniques to ensure accurate and efficient data integration. Data Quality Tools: Experience with data profiling, data quality assessment, and monitoring tools to ensure data is fit for use. Scripting & Automation: Basic knowledge of scripting languages (e.g., Python, SQL) to automate data processing and ensure consistency across platforms. Cloud Technologies: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and services for data storage and processing. Qualifications: Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field. Minimum of 3-5 years of experience in data management, preferably within the insurance or financial services sector. Experience working in cross-functional teams and a fast-paced environment. Certifications in data management, such as DAMA (Data Management Association), are a plus. Knowledge of insurance-specific data structures (e.g., policy, claims, underwriting data) is an advantage. Desired Attributes: Highly organized with a keen attention to detail. Ability to manage multiple tasks and prioritize effectively. Strong interpersonal skills and a collaborative approach to problem-solving. Strategic thinker with a proactive mindset to anticipate challenges and opportunities in data management. Why Join Us? This is an exciting opportunity to be part of a forward-thinking data management team that drives operational excellence within the insurance industry. You will have the chance to work alongside a talented group of professionals and contribute to the future of data management, while making a direct impact on the company's data-driven initiatives. If you're ready to take your career to the next level and be a key player in a dynamic, data-focused environment, we encourage you to apply Salary Range: $77,570.00 - $127,430.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: LPL's Security Architecture & Engineering organization is looking for a talented professional to join a high-performing organization that is charged with supporting LPL's Data Protection program. The AVP of Data Protection will be responsible for designing, implementing, and maintaining data security solutions to protect our organization's sensitive information. The ideal candidate will have experience in data security and Data Security Posture Management. The Engineer will work closely with IT staff, and business stakeholders to identify and mitigate potential security risks and implement best practices. Creativity in tracking down possible gaps in data integrity and security for the enterprise would be an asset to the enterprise. This individual will have the opportunity to help shape the future direction of data security at LPL. We are looking for an experienced professional, who has a breadth of knowledge and skills across various technical and project management acumens, along with an understanding of industry best practices. Responsibilities: Managing LPL's Data Security Posture Management platform, including engineering, automation, and support. Evaluating Structured data from databases and data warehouses such as Oracle, MS SQL server, Snowflake, Aurora (PostgreSQL), and Unstructured data like S3, Azure blob storage, Windows, and Linux shares (NFS, CIFS) both on-premises and cloud environments like AWS & Azure Dive deep into data activities, access controls, configurations, and audit logs in various cloud databases and unstructured storage platforms and develop a process and solutions to mitigate data risks Establishing safety protocols to protect all data collected and used by the organization Drafting security plans depending on the organization's needs and current threats Foster a partnered approach, building and maintaining strong productive working relationships with internal stakeholders aligning service delivery with business needs Analyze data protection risk scenarios within the data persistent and transit layers and develop mitigations to protect sensitive data with a sustainable solution Proven experience in implementing and practicing cloud data security standards, compliance, and risk management strategies Responsible for securing and protecting sensitive data by implementing and maintaining security measures, policies, and procedure Conduct security assessments and risk analyses to identify potential vulnerabilities and recommend remediation plans Discuss complex technical details at a high level with leadership/stakeholders and at a low level with engineers and architects Adhere to data policies & standards, while also enforcing correct management of sensitive data in compliance with global business rules, legal and governmental regulations Ensure data integrity, accuracy, and reconciliation within reports and dashboards by reviewing, identifying, and resolving gaps and inconsistencies What are we looking for? We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. Requirements: 5+ years of experience in data security, risk management, or a related field 3+ years' experience with DSPM tools like BigID, Varonis, Collibra, Symmetry 4+ years' experience with Scripting/Automation tools such as Splunk, Python, and PowerShell 5+ years of experience with database administration with databases like Oracle, MS SQL Server, PostgreSQL, and Snowflake 4+ years' experience collaborating with technical team members, business analysts, and project/program managers to ensure a quality solution is delivered Preferences: Bachelor's degree in computer science, Information Technology, or a related field Working knowledge and experience related to tools and technologies used for data protection and data security posture management Working knowledge and understanding of technologies like SharePoint, Confluence, Service Now, and reporting tools such as Power BI, Tableau, MS Reporting Services, and Microsoft Office products Exposure or working knowledge with SQL databases such as MongoDB, DynamoDB Any certifications related to AWS, such as solutions architect, and cybersecurity, such as CS, CISSP, CISM, CISA #LI-Hybrid Pay Range: $118,988-$198,313/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) was founded on the principle that the firm should work for advisors and institutions, and not the other way around. Today, LPL is a leader in the markets we serve, serving more than 23,000 financial advisors, including advisors at approximately 1,000 institutions and at approximately 580 registered investment advisor ("RIA") firms nationwide. We are steadfast in our commitment to the advisor-mediated model and the belief that Americans deserve access to personalized guidance from a financial professional. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC1.22.25

Upgrade is a fintech company that provides affordable and responsible credit, mobile banking, and payment products to everyday consumers. We were the fastest growing company in the Americas last year according to the Financial Times and Upgrade Card was the fastest growing credit card in America two years in a row. We have delivered over $33 billion in affordable and responsible credit to our 5.5M customers. The company is backed by some of the most prominent technology investors and was recently valued at $6.3B. We have built an energizing, collaborative and inclusive culture where team members help each other, learn and innovate to move the company and its customers in the right direction, and own the outcome of their efforts. Upgrade has been named a "Best Place to Work in the Bay Area" three years in a row, "Top Companies to work for in Arizona" and one of the "Best Engineering Department" awarded annually by Comparably. We've also received recognition for being a best company for Diversity, Women, Culture, and Veterans. We are looking for new team members who get excited about designing and delivering new and better products to join a team of 1850 talented and dedicated professionals. Come work with us if you like to tackle big problems and make a meaningful difference in people's lives. About the Role: We are seeking a highly analytical and results-driven Data Scientist to join our growing analytics team in the financial services sector. You will play a key role in building predictive models, optimizing financial decisions, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and financial domain knowledge. This position is based in our San Francisco office in a hybrid capacity, specifically on Tuesdays, Wednesdays, and Thursdays. What You'll Do: Build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution. Validate models to identify factors that may affect model performance. Analyze large, structured and unstructured datasets using SQL, Python or similar tools. Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development. Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies. What We Look For: Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline. 0-2 years of hands-on experience in a data science or analytics role, preferably in financial services. Experience and/or strong interest in the latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred. Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL. Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.). Detail oriented and strong analytical skill set. Proactive, driven, and ability to work in a fast paced environment. Nice to Have: Experience working with cloud platforms (AWS, GCP, or Azure). Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of big data technologies like Spark or Hadoop. Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value. What We Offer You: Competitive salary and stock option plan 100% paid coverage of medical, dental and vision insurance Competitive 401(k) and RRSP program Flexible PTO Opportunities for professional growth and development Paid parental leave Health & wellness initiatives The compensation range of this position in San Francisco, CA is USD $100,000-$115,000 annually plus equity and benefits. Within this range, an individual's base pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience. #BI-Hybrid #LI-Hybrid For California residents: Upgrade's California Notice at Collection and Privacy Policy describes our practices regarding the collection, use, and disclosure of the personal information of job applicants. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties. Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee. Agencies must obtain advance written approval from Upgrade's Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement.

Who we are: First Street is the standard for Climate Risk Financial Modeling. We use transparent and peer-reviewed methodologies to calculate the past, present, and future climate risk for every property in the world. We started working with the world's leading climate scientists to create groundbreaking, climate-adjusted, property specific models over 8 years ago and haven't stopped. Our mission: We exist to connect climate and financial risk. Our data: We create physics-based, deterministic models of flooding, wildfire and hurricanes, and advanced statistical models of extreme heat, air quality, drought, hail, severe convective storms, winter storms, and more. All of this data is used to create property-level financial risk metrics and macroeconomic variables to quantify the impacts of climate, property by property. Our customers: We empower governments at the highest levels to make smart regulations, businesses to avoid bad investments, and everyday Americans to understand their personal risk from climate change. We are relied on every day by: Agencies ranging from the U.S. Department of Treasury to Fannie Mae The world's biggest banks such as Bank of America and Wells Fargo Institutional investors like Nuveen and Blackstone Millions of everyday users on Zillow, Redfin, Realtor.com, Homes.com, and more We believe: With the right data, we can identify the problems, avoid bad investments, and implement solutions. This is why we have invested tens of millions of dollars into our science, data, people, and products and have raised tens of millions more to move even faster. Read more about our culture here and see what Climate Risk Financial Modeling is all about here. Come join us and use your talents to change the world. Team & Role Overview: We're looking for our first dedicated Data Quality Analyst to join our growing team in New York City. You'll be responsible for ensuring the accuracy, reliability, and performance of our climate risk products. This is a hybrid role - you need to be strong in validating and stress-testing datasets and also comfortable with software QA. You'll work at the intersection of software, data, and product-ensuring that our data-driven outputs are trustworthy, especially as we scale our financial risk metrics. This is a hybrid role with in-office presence required on Monday, Wednesday, and Thursday. What you'll do: Define and refine acceptance criteria in collaboration with product, engineering, and data science teams to ensure clarity and testability Deeply understand our datasets, focused on financial and climate risk data-to identify edge cases, anomalies, and potential failure points Create test plans and test cases that stress the system under real-world and corner-case conditions Design and run manual exploratory tests for complex features, using First Street's Enterprise Suite, especially where automated coverage is limited Develop and maintain a comprehensive test portfolio, including unit, integration, regression, and end-to-end tests across both product and data workflows File clear tickets, providing clear documentation and context for the data and engineering team What you'll need: 3+ years of experience as a Data Quality Analyst or Data Analyst Proven experience working with data-centric applications or financial datasets with 100's of millions of data points Hands-on experience with validating APIs, data transformations, and large-scale datasets Comfort working with basic SQL queries and using scripting languages to analyze large CSVs. Excellent attention to detail, communication skills, and a bias for action Ability to work hybrid in NYC three days per week What will make you stand out: Background in climate science, geospatial data, or financial risk modeling Experience being the first data QA hire or building data QA systems from scratch at a startup Experience with Python+ Pandas/Polars, or R + dplyr a plus Proficiency in modern testing frameworks (e.g., Playwright, Jest, or similar) Familiarity with CI/CD tools (e.g., GitHub Actions, CircleCI) Experience building automated QA pipelines that integrate with CI/CD processes to ensure consistent, reliable deployments Passion for our mission to connect climate and financial risk How we work: Impact: We only focus on things that move the needle Drive: We are driven by the role we play in connecting climate and financial risk Ownership: This is our company and we act accordingly Urgency: We move quickly because the world depends on it Resilience: We have a growth mindset in all that we do What we offer: Competitive salary commensurate with experience Ownership interest in the company via Employee Stock Option Plan Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday 15 vacation days along with 5 days for winter break office closure, 8 statutory company holidays, and 10 sick days Health benefits covered at 100% for employee or a significant contribution for family plans Vision and dental benefits with partial employee contribution 12 weeks of paid parental leave Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace Company 401k program Commuter benefits Life Insurance Tech startup environment Weekly team meals and an office stocked with coffee and snacks Working on the world's biggest issue with other passionate professionals We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platform- AWS/Azure/GCP Certification in Snowflake Certification in any ETL/ELT tool Preferred Knowledge/Skills: Demonstrates thorough knowledge and success as both team leader and member roles within a professional services firm or large enterprise. Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos Programming using Python/Spark Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Support cross-functional teams to understand their workflow and automation needs. Design and develop scalable data warehouse solutions that meet the organization's data storage, retrieval, and analysis requirements. Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities success with managing the identification and addressing of client needs: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Contributing as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; and, Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Cloud Solution Architect- Data & Analytics First Quality was founded in 1989 and has grown to be a global privately held company with over 4,000 employees. Its corporate offices are located in Great Neck, New York, with manufacturing facilities and offices in Pennsylvania, South Carolina, Georgia, and Canada. First Quality is a diversified family of companies manufacturing consumer products ranging from Absorbent Hygiene (adult incontinence, feminine care, and baby care), Tissue (bath and towel), and Industrial (print and packaging materials), serving institutional and retail markets throughout the world. First Quality focuses on private label and branded product lines. We are seeking a Cloud Solution Architect- Data & Analytics for our First Quality Enterprises located remotely. The Enterprise Data and Analytics team provides strategic direction, technical/functional expertise, and product management for First Quality's Data and Analytics systems and Machine Learning applications. The Cloud Solution Architect- Data & Analytics, as a key member of the Enterprise Data and Analytics team, provides functional and technical leadership for the definition, design, and delivery of First Quality's Analytics systems. This position is responsible for architecture, product management, and delivery of analytics systems. The Cloud Solution Architect- Data & Analytics is responsible for maintaining standards and best practices for enterprise Analytics tools and solutions. The incumbent will design and develop reporting frameworks of varied levels of complexity working directly with end users and other Solution Architects to create reporting requirements, design patterns, and implementations. The person in this role will interact with all areas of First Quality to define business requirements, scope solutions, develop specifications, and delivery of solutions. This position is the go-to contact for their assigned Analytics system specialization and, as such, serves as the ultimate support escalation point for their assigned system(s). The person in this position owns their assigned system(s) and interacts with all divisions within First Quality. This position will be held accountable for the training, education, and execution of Analytics systems with the goal to fully utilize their capabilities. Primary responsibilities include: Design and implement data architecture, integration, ETL and analytics solutions on Azure and future state cloud platforms. Collaborate with business stakeholders, data engineers, and data scientists to understand data requirements and design scalable and flexible data models. Develop data ingestion strategies and frameworks to efficiently capture and integrate data from various sources into Azure and other cloud data services. Define data storage and retrieval mechanisms, including multi-tenant data partitioning, indexing, and compression, to optimize performance and cost efficiency. Create and maintain data pipelines and ETL/ELT processes to transform, cleanse, and integrate data across different data sources. Implement data governance and data management practices to ensure data quality, consistency, and compliance with relevant regulations. Collaborate with security and compliance teams to establish and enforce data security measures, including data encryption, access controls, and data masking. Perform data profiling, analysis, and troubleshooting to identify and resolve data-related issues. Stay up to date with the latest advancements in Cloud data services and recommend innovative solutions to enhance data architecture capabilities. Provide technical guidance and mentorship to junior team members and promote best practices in data architecture design and implementation. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Work with external and internal teams to resolve infrastructure-related issues when developing integration modules. Partner with the business teams to evaluate and perform application development and/or business process change requests under minimal direction. Work with IT functional leads to understand the application architecture and setup right integration mechanisms. Implement DevOps practices and CI/CD pipelines across all analytic systems. Ability to communicate complex ideas in simple terms, and effectively interact with decision makers. Knowledge of machine learning and AI technologies and their integration with data architecture May need to travel to manufacturing sites and other First Quality locations to address IT analytics needs The ideal candidate should possess the following: Bachelor's degree in computer science, Information Technology, Engineering, or a related field. Extensive experience in designing and implementing data architecture and analytics solutions on Azure and other cloud platforms. Strong proficiency in Azure data services such as Azure SQL/MI, ADF, Azure Synapse, ADLS, Azure Databricks etc. Deep understanding of data modeling principles and experience with relational, dimensional, and NoSQL data modeling techniques. Solid knowledge of ETL/ELT processes, data integration patterns, and data warehouse concepts. Experience with any visualization tools (QlikView, Tableau, Power BI etc.) Experience with data governance, data security, and compliance practices in Azure and other cloud platforms. Prior experience in the Manufacturing Industry preferred. Proficiency in SQL and programming languages such as Python or Spark. Strong problem-solving and analytical skills with the ability to troubleshoot and resolve complex data-related issues. Excellent communication and collaboration skills to work effectively with stakeholders at all levels. Ability to manage multiple projects and priorities in a fast-paced and dynamic environment. First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

Sr. Systems Analyst (Data Analytics) Employment Type:Full-Time, Mid-Level /p> Department: Information Technology As a CGS Systems Analyst, you will be doing the work of setting up Oracle databases in a UNIX environment, including designing, implementing, troubleshooting, populating, maintaining, documenting, and training users on such systems. Other systems environments and specific project requirements will call for other specific sets of technical skills. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Requires broad knowledge of the Government's IT environments. Office automation networks. PC and server-based databases and applications. Qualifications: This is a senior-level technical position, often the most senior-level technical position for all work for a particular DOJ component. Must demonstrate substantial, hands-on, successful experience in doing the work on the systems being used, usually at least five years of such experience. Other systems environments will require other specific sets of skills. Requires broad knowledge of the Government's IT environments, including office automation networks, and PC and server-based databases and applications. Experience in a litigation support environment is extremely helpful. Excellent oral and written communication skills are required. The ability to lead a technical team, and to give it direction, will be essential, as will the demonstrated ability to analyze the attorneys' needs and to design and implement a whole system solution responsive to those needs. Ideally, you will also have: Undergraduate degree in the computer science or information management/technology disciplines. Supervisory experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $149,760 - $216,320 a year

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi's Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company's risk appetite and helps create the products and experiences that put our members' interests first. The Senior Data Scientist will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The initial focus of the role will be on Student Loan Refinance but the candidate may get opportunities to work on other lending products in the future. The Senior Data Scientist will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi. What you'll do: Innovate… Bring your brightest ideas to building risk strategies. This means you will architect the pre-screen and underwriting strategies. Data Driven… Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and uses. Iterate, learn, innovate… We are all responsible for innovation and must embrace data-driven decisions. Control the Risk and Drive Performance Outcomes … Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions. Grow, Grow, Grow!… Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members. What you'll need: 4+ years of related experience Business acumen and work experience in the consumer lending business (loans or credit cards) Direct experience in the credit strategy analytical life cyle, including strategy and decision tree development, presentation, implementation validation, and post-implementation monitoring Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems Proficient skills in Excel, SQL and Python A demonstrated ability to synthesize and communicate analysis to business partners and senior management High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment Knowledge/skills in analytical and modeling techniques such as Decision Trees, regression, logistic regression, A/B Testing, and Tableau Preferred: 4+ years of consumer lending credit strategy work experience Preferred: Experience in analyzing and testing credit strategies or models to meet the fair lending requirements Preferred: Advanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.