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Description We’re seeking a reliable, safety-conscious, and tech-savvy Field Data Collection Driver to support a high-precision mapping initiative for our client’s digital mapping project . In this role, you will operate a company-provided vehicle equipped with a specialized 360-degree camera system to capture street-level imagery. This imagery is used to support global geospatial technology platforms and mapping services, which will power maps and navigation products worldwide. No mapping experience required – Fully paid training and technical support will be provided. Key Responsibilities Operate a vehicle equipped with camera systems to capture 360-degree imagery. Follow pre-defined driving routes provided daily. Upload collected data from onboard devices after each shift. Conduct regular equipment checks to ensure smooth operation. Communicate with the technical support team regarding issues or updates. Maintain a professional and courteous presence while representing the program in public areas. Who You Are You are a responsible, tech-comfortable driver who enjoys working independently. You follow rules carefully, keep your vehicle in good condition, and care about safety. Additional Details All equipment, vehicles, and training are provided. Candidates must pass a background check, comply with routine safety screenings, and complete onboarding training. Schedule: Full-time, Monday to Friday, with some flexibility depending on weather and route completion Willing to drive up to 8 hours/day on public roads, occasionally covering long distances. Access to secure parking (preferably with CCTV) for the company vehicle is preferred — assistance may be provided for qualifying candidates. Requirements Valid driver's license with at least 3 years of driving experience (5+ preferred). Good driving record with no major violations in the past 3 years. Strong attention to detail and comfort using mobile apps or in-vehicle technology. Ability to lift up to 25 lb (10-15kg) occasionally and perform basic physical tasks related to equipment setup Reliable, self-motivated, and able to work independently for extended hours. Preferred Qualifications Previous experience in field data collection, delivery driving, or GIS-related roles. Familiarity with geospatial tools or interest in mapping technologies. Benefits Competitive pay and full reimbursement for fuel, tolls, and travel expenses Experience working with cutting-edge camera, mapping technologies, and to be part of a globally recognized tech-driven project

Replies within 24 hours Benefits: 401(k) 401(k) matching Bonus based on performance Company parties Employee discounts Flexible schedule Opportunity for advancement Training & development Wellness resources Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our dynamic tax team. The successful candidate will play a crucial role in ensuring the accuracy and integrity of tax-related data. The Data Analyst will be responsible for collecting, organizing, and analyzing tax and financial data to support tax preparation and compliance, reporting, and strategic decision-making. Key Responsibilities: Data Collection and Compilation: Gather and compile relevant financial data from various sources, including client forms, internal systems, financial statements, and third-party reports. Ensure the completeness and accuracy of tax-related information. Data Analysis and Interpretation: Conduct thorough analysis of financial data to identify trends, anomalies, and potential tax implications. Tax Compliance: Assist in the preparation of tax returns by providing accurate and well-organized data. Collaborate with tax professionals to ensure compliance with local, state, and federal tax laws. Quality Assurance: Perform regular audits and reviews of tax data to maintain data accuracy and integrity. Implement and maintain data quality controls to minimize errors and discrepancies. Reporting: Generate comprehensive reports summarizing tax-related data analysis for internal stakeholders. Communicate findings and insights in a clear and understandable manner. Process Improvement: Identify opportunities for process improvement in tax data management and implement efficient solutions. Stay informed about changes in tax regulations and adjust data processes accordingly. Qualifications: Obtain IRS PTIN Pass Background check Proven experience in data analysis, preferably in a tax or finance-related role. Proficiency in Microsoft tools and learning new software (e.g., Excel, SQL). Excellent attention to detail and organizational skills. Strong communication and collaboration skills. Ability to work under tight deadlines and manage multiple tasks simultaneously. Willingness to serve people Preferred Qualifications: Professional certification such as CPA or CMA. Familiarity with tax software and ERP systems. Bachelor's degree in Accounting, Finance, or a related field. If you are a highly motivated individual with a passion for data analysis, we encourage you to apply for this rewarding position. Join our team and contribute to the success of our finance department. 3 month seasonal role with opportunity to go full timeP erks: Hourly pay + competitive bonus program Flexible Schedule Options Heath & wellness benefits 401K and other perks Corporate discount program Free tax preparation training and PTIN registration Free continuing tax education Enrolled Agent materials and testing reimbursement Compensation: $17.00 - $18.00 per hour Working at Jackson Hewitt Jackson Hewitt is an innovator with nearly 6,000 locations, and we’re on a mission to change the face of the tax industry. We are an industry-leading provider of full-service individual, federal, and state income tax preparation with offices across the country. Jackson Hewitt is always seeking to improve its financial products, promotions, and partnerships so clients get more. Taxes are fun (really!) Jackson Hewitt is proud to offer free tax training as well as continuing education for tax preparers across the country. With nearly 6,000 locations to choose from, there's likely a Jackson Hewitt location near you, including at your local Walmart store. Tax preparers have flexible scheduling and various rewards too. PTIN Certification: Yes By submitting this form, I hereby acknowledge that most Jackson Hewitt locations are operated by independent franchisees and not Jackson Hewitt or its affiliates. I further acknowledge that franchisees are independent employers and separate companies and employers from Jackson Hewitt Inc., and set their own employment policies and practices. Franchisees are the exclusive employer of their employees and as such are solely responsible for all employment-related matters and decisions in their locations. Specifically, with regard to employees of franchisees, such franchisees, and not Jackson Hewitt, will have exclusive control over all employment-related decisions, including decisions concerning hiring, firing, wages, conditions of employment, discipline, staffing, or any other day-to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any franchise employment issue relating to employees of a Jackson Hewitt franchisee. By applying for a job at a franchise-operated location, I understand that the information I provide will be forwarded to the franchisee in order for that organization to reach out to me and process and evaluate my application. I acknowledge that Jackson Hewitt will not receive a copy of my employment application and will have no involvement in any employment decisions regarding me, including whether I receive an interview or whether I am hired to work for the franchisee. I understand that I need to contact the relevant franchisee for information about its privacy practices. Any communications opt-out that I submit in any franchisee’s job application process is specific to that franchisee and will not be communicated to any other entity.

At January, we're transforming the lives of consumers by bringing humanity to consumer finance. Our data-driven products help financial institutions streamline their collections, offering borrowers straightforward and compassionate solutions to regain financial stability and control over their lives. We're not just expanding access to credit – we're restoring dignity and giving millions of people the chance to achieve financial freedom. About the Role As a Senior Data Scientist, Product Analytics, you'll play a significant role in shaping product direction through data analysis, visualization, modeling and experimentation. Working closely with product managers, your actionable insights will directly affect how our users get out of debt and back to financial stability. What You’ll Work On You’ll act as a strategic partner to product managers at January, enabling them to continuously make data-driven decisions, run experiments, and evaluate how our most important success metrics are changing over time. You will become a subject matter expert in our data, making impactful recommendations to improve our product and processes. You’ll also contribute to building January’s reputation as a data-focused collection agency that operates with sophistication and intentionality. You’ll work closely with the operations team, ensuring that our client success managers are informed and equipped to answer any question and handle any client conversation with ease. What You Bring to the Table Have at least 2 years experience using SQL Have used languages like Python or R to conducting statistical analysis Have a medium to advanced understanding of statistics as they relate to experimentation Are able to present data in a compelling way to empower our product and engineering teams to make better decisions. Are able to think strategically and consider the impact of your work on January’s success as a whole Are able to work independently: given context and some initial guidance, you’re able to do a deep dive and make insightful recommendations for the business. We are currently hiring for this position in our New York office. As a New York City-based company, we are dedicated to transparent, fair, and equitable compensation practices that reflect our commitment to fostering an environment where all team members are valued and supported. We encourage individuals from all backgrounds to apply. We are an equal opportunity employer committed to diversity and inclusion in the workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, age, veteran status, or any other legally protected characteristic.

BI-LINGUAL (Spanish-English) Data Entry Clerk/Tax Professional (Tax Preparer) – Entry Level Are you looking for a fun, dynamic work environment? Do you need a job with flexible hours? Are you looking for some extra cash? If you answered YES to any of these questions, Fast Tax has a great opportunity for you! We are excited to announce that we are now seeking career-minded candidates for Tax Professional (Tax Preparer) positions; NO experience necessary. Tax Professional (Tax Preparer) base responsibilities include: Conducting face-to-face client interviews Providing high-quality tax return preparation assistance to clients to ensure that accurate and complete tax returns are filed in a timely manner Increasing client retention, generating business growth and offering additional products and services Other Responsibilities as needed : Make client appointments Assemble client packets Answer telephone, direct calls, take messages Greet arriving clients Other responsibilities as assigned Required Skills & Experience: Fluency in both English and Spanish (read, write, and speak) (Required) High School Diploma or equivalent Basic typing skills (minimum 35 wpm) Basic computer operating skills Ability to effectively communicate in person and in writing Excellent people skills Experience working in a fast-pace environment Team-oriented (ability to work well with others) Successful completion of company provided Tax Knowledge Assessment Preferred Skills & Experience: Sales and/or marketing experience Previous tax preparation work experience Annual Filing Season Program (AFSP) Certification Pay is based on hourly rate plus commission

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time. Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On.We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. This is a hybrid role based out of our San Francisco office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Data Science at Ironclad The Data Science role for Product Analytics combines data-driven storytelling and deep data science techniques to help drive our Product roadmap. The Product Data Scientist will work directly across the Product team and Pricing team to drive the right programs, the right investments and ensure business growth. You will drive analytical decisions for Product. This includes feature analysis, roadmap optimization and pricing investigations. You would also provide expertise on designing A/B tests and be a thought-partner to product and pricing. This role is cross-functional, partnering with Product, Design, Engineering, Pricing, Analytics, and Finance. What you'll do: Learning the Ironclad ecosystem and historical pricing paradigms in order to be a subject matter expert on the data, analysis, and modeling Creating mathematical and data driven solutions for difficult pricing problems at scale Be the primary partner for the Product Growth team and collaborate with Product, Engineering and Design to understand growth and optimization opportunities and to measure impact of initiatives. Owns and drives strategic analysis to guide product roadmap and develop a holistic point on view on product direction Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress Lead A/B experiments, quantitative primary research and surveys such as NPS from the Data side by supporting experiment design, tracking, implementation and owning the final analysis and readout. Provide data expertise to all data science team members through code reviews, mentorship and pairing to increase efficiency of the data science team. Who you are: 5+ years of experience in data science and machine learning, time-series data, multivariate analysis and causal inference. 5+ years of experience in statistical experimentation methods, such as A/B testing, experimental design, power analysis and non-parametric statistics. Deep experience in Product and Pricing analysis. Experience in SQL, statistical modeling platforms (Python), data modeling, machine learning algorithms, and data science techniques. Experience managing analytics projects from creation to delivery, including developing structured solutions. You are an extraordinary communicator and project manager. You have the ability to prioritize projects and clearly communicate timelines to your team and stakeholders. Benefits at Ironclad: 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available Market-leading leave policies, including gender-neutral parental leave and compassionate leave Family forming support through Maven for you and your partner Paid time off - take the time you need, when you need it Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use Mental health support through Modern Health, including therapy, coaching, and digital tools Home office setup stipend to make your space work for you Pre-tax commuter benefits (US Employees) 401(k) plan with Fidelity (US Employees) Regular team events to connect, recharge, and have fun And most importantly: the opportunity to help build the company you want to work at Base Salary Range: Senior Data Scientist- Product Analytics: $150,000 - $170,000 Staff Data Scientist- Product Analytics: $180,000 - $200,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description: Essential Duties/Responsibilities: Gather, clean, and analyze structured and unstructured data from various sources. Develop and manage consolidated reports related to financials, sales performance, cost structures, and e-commerce analytics Monitor key performance indicators (KPIs) to track efficiency, profitability, and customer trends. Develop dashboards, reports, and data visualizations to support business insights. Optimize inventory forecasting for HVAC equipment, parts, and materials. Identify operational inefficiencies and propose data-driven solutions for process improvements. Maintain data integrity, organization and governance, for accurate reporting and security best practices. Utilize data tools like Excel, Power BI, SQL, Python, or other analytics platforms for deeper insights. Collaborate with business stakeholders to translate goals into data requirements and deliver insights through reporting and dashboards. Partner with teams to influence operational and financial decisions with data-drive recommendations. Working Conditions: Onsite, Columbus, OH Open office environment Domestic travel as needed Minimum Requirements: Bachelor’s degree in Data Analytics, Business Intelligence, Computer Science, or related field. 2+ years of experience in data analysis, business intelligence, or financial modeling. Proficiency in Excel, Power BI, SQL, Python, or other data visualization tools. Ability to translate complex data findings into actionable business insights. Excellent problem-solving, analytical, and communication skills. Experience with forecasting models and revenue trend analysis is a plus. Ability to work outside of normal business hours as needed or as special projects/ demand Preferred Knowledge, Skills and Abilities: Knowledge of HVAC, construction and or services business operations, service workflows, and inventory management. Experience working in cloud environment (databricks, data accelerators) Experience integrating multiple data sources into one environment Experience in applying advanced analytic methodologies to business problems Knowledge of HVAC industry trends and data applications in residential construction. Physical Requirements: Must be able to lift/move up to 20 pounds as needed. Must be able to wear required personal protective equipment (PPE) including but not limited to hard hat, safety glasses, ear plugs, masks/respirators, reflective safety vests, gloves and safety toe, construction-grade work boots when needed. Must be able to adhere to long periods of standing, walking, or sitting. Ability to hear, understand and distinguish speech and/or other sounds to operate phones or other equipment safely. With natural or corrected vision, able to see and focus for close, distance, peripheral vision with normal depth perception. Ability to express or exchange ideas by means of the spoken word to impart oral information to others. Ability to enter text or data into a computer by means of a traditional keyboard or 10-key numeric keypad. Airtron is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Director, Data LakehouseData StrategyUS Exempt RegularFull timeStateside Exempt 4.4Location: Adelphi, MD (Hybrid) The selected candidate for this position will report on-site 2-3 days a week. The Director, Data Lakehouse is a critical leadership role responsible for shaping and driving enterprise data strategy through the design, implementation, and oversight of its data and analytics platform. This role leads the implementation and operation of the Data Lakehouse layers (i.e., Bronze, Silver, Gold) of a new Enterprise Data & Analytics Platform in Databricks. The main focus is to ensure that the organization’s data assets are findable, securely accessible, interoperable, reusable, and reliable, as well as optimized for analytics & AI in support of decision-making and operational excellence. This leader will align data management best practices with business priorities, enabling the institution to leverage data as a strategic asset while fostering a culture of innovation and collaboration. The role will help shape the organization’s data culture, and balance high-level strategic planning with hands-on involvement in projects, operations, and technical implementations. The role reports to the AVP Enterprise Data. The Director will build, lead, coach, and mentor a team of data engineers and architects while collaborating with business and technical stakeholders to ensure the platform aligns with organizational goals and supports a wide range of use cases, including ML/AI, and operational data stores. Duties and Responsibilities: Strategic Leadership and Vision: Assist with development and execute the Enterprise Data & Analytics Strategy, ensuring execution and development supports the organization’s overall data and business goals. Lead the design, implementation, and operation of a scalable, secure, and high-performance enterprise data Lakehouse in Databricks that ingests and curates data from various internal and external data sources and delivers certified data in service of an evolving portfolio of data products and services. Define and enforce best practices for data Lakehouse architecture, governance, data quality, and lifecycle management. Team Leadership and Development: Build, lead, coach, and mentor a team of data engineers, architects, and analysts focused on the data Lakehouse platform. Foster a culture of collaboration, innovation, and continuous learning within the team. Provide coaching, career development, and performance management to ensure the team’s success. Data Architecture and Interoperability: Design and oversee ELT and ETL processes on LakeFlow for the ingestion, integration, and interoperability of structured, semi-structured, and unstructured data across data Lakehouse layers, enabling easy access, real-time processing, and advanced analytics. Ensure that the Lakehouse architecture is flexible, scalable, and aligned with the organization's evolving data needs. Data Governance, Security, and Compliance: Implement and enforce data governance policies to ensure high-quality, secure, and compliant data usage across the lake house. Work with legal and compliance teams to ensure data security, privacy, and regulatory requirements (e.g., GDPR, FERPA, HIPAA, etc.) are met. Implement and manage data cataloging, lineage tracking, and metadata management processes. Analytics Enablement: Work closely with data scientists, business analysts, and other stakeholders to ensure the Lakehouse supports both batch and real-time analytics needs. Lead the development and implementation of MLOps enabling enterprise grade analytics, machine learning, and data science in support of data-driven decision-making. Ensure the platform supports self-service data exploration, reporting, and visualization capabilities for business users. Collaboration and Stakeholder Management: Engage with cross-functional teams (e.g., IT, operations, business intelligence, and product teams) to understand their current and emerging data needs and ensure the data Lakehouse platform capabilities are in alignment. Serve as the point of contact regarding the data Lakehouse’s performance, enhancements, and strategic direction. Advocate for the data Lakehouse within the organization, educating stakeholders on the platform’s benefits and capabilities. Innovation and Futureproofing: Stay informed about emerging technologies, trends, and best practices in data management, cloud computing, and big data and lead continuous improvement. Lead the evaluation and adoption of modern technologies and tools to enhance Lakehouse’s capabilities, scalability, and performance. Drive continuous improvements to ensure the platform is future-ready, evolving to meet the organization’s growing data needs. Budget and Resource Management: Develop and manage the approved budget for the data Lakehouse team and platform, ensuring efficient resource allocation. Monitor and control project timelines, scope, and costs to deliver data Lakehouse initiatives on time and within budget. Skills : Demonstrated integrity, energy, the ability to energize others, and to execute and deliver on goals and objectives. Must be collaborative and influential, a self-starter, results-focused, and have the ability to prioritize. Advanced communication skills for engaging technical and non-technical stakeholders. Facilitation, Negotiation, Collaboration, and Presentation skills. Dedicated to understanding and meeting the needs of customers through tailored platform solutions and data-driven insights and influence strong user adoption. Proven record of leading large-scale data and analytics platform initiatives in complex federated organizations working with cross-functional teams and consultants. Eagerness to innovate within a collaborative environment, bringing a proactive and adaptable approach to evolving business needs. Experience with building and delivering curated and governed data products and establishing data contracts between data producers and consumers. Exceptional hands-on leadership, team-building, and coaching skills, with strategic thinking and the ability to align technical solutions with current and emerging business needs. Ability to see the big picture and align platform functionalities with evolving portfolio of data products and services. Strong analytical skills with a data-driven approach to decision-making and problem-solving. Experience with building global multitenant environments and data marketplaces. Experience operating in cross-functional teams within shared governance organizations. Expertise in designing, implementing, and operating modern enterprise data platforms, including data lakes, warehouses, and cloud-based analytics tools. Deep experience in data architecture, dimensional modeling, and data engineering. Strong understanding of data governance, master data management, quality management, and compliance frameworks. Deep knowledge in data architecture, data engineering methodologies, cloud computing, and REST APIs Solid understanding of Agile, DevOps and CI/CD, MLOps, DAMA, TOGAF. Demonstrated high level of expertise with Databricks is a top requirement. Consuming data into data lakes from PeopleSoft, Salesforce, Workday, D2L, Five9, EntraID. Experience interfacing data form data Lakes with MDM tools like Profisee, Purview, Atlan, Reltio, Alation, Attacama. Experience designing and delivering data to consuming analytical and operational systems. Experience interfacing data with NEO4J Working knowledge of Erwin Data Modeler PL/SQL, Python, Scala, Rust, Cypher, GraphQL, GQL Azure DevOps, GitHub Travel 3+ times per year for strategy and team meetings, to Adelphi MD. Education & Experience Requirements : Education: Bachelor's Degree in Information science and technology, Library and Information Science, Computer Science or a related field. Experience: 7+ years of experience implementing and operating Databricks data lakehouses. 5+ years of experience leading data lakehouse teams. Knowledge of educational research and on-line higher education is preferred. Experience with modern diverse technology stacks and integration of AI/BI technologies are strongly preferred. Preferred Experience Requirements : Education: Master's Degree in Information science and technology, Library and Information Science, Computer Science or a related field. Certifications: Databricks certifications are extremely desirable. All submissions should include a cover letter and resume . The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions. Workplace Accommodations: The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu . Benefits Package Highlights: Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays (16 during general election years). For part-time employees, time off rates will be prorated based on the number of hours worked. Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date. Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD. Flexible Spending Accounts: Available for medical and dependent care expenses. Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS). Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds. Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time), tuition remission benefits are prorated. Hiring Range: $191,000.00 - $216,000.00

About Happyrobot HappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy. Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto .HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot. About the Role Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company. Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company. Build and maintain robust data pipelines and models to ensure data quality. Partner with Product, Engineering, and Design teams to inform decisions. Translate complex data into clear, actionable insights for product teams. Love working with data. Love making product better. Love finding the story behind the numbers. Responsibilities Define, build, and maintain product metrics, dashboards, and pipelines. Write SQL and Python code to extract, transform, and analyze data. Design and run experiments (A/B tests) to support product development. Proactively explore data to identify product opportunities and insights. Collaborate with cross-functional teams to ensure data-driven decisions. Ensure data quality, reliability, and documentation across analytics efforts. Must Have 3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics. Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses). Advanced analytics experience: segmentation and cohort analysis. Proficiency in Python for data analysis and modeling. Excellent communication skills: able to explain complex data insights clearly. Curious, collaborative, and driven to make an impact in a fast-paced environment. Nice to Have Experience in B2B SaaS or AI/ML products. Familiarity with product analytics tools (e.g., Mixpanel, Amplitude). Exposure to machine learning concepts or AI-powered systems. Why join us? Opportunity to work at a high-growth AI startup , backed by top investors. Fast Growth - Backed by a16z and YC , on track for double-digit ARR . Ownership & Autonomy - Take full ownership of projects and ship fast. Top-Tier Compensation - Competitive salary + equity in a high-growth startup. Comprehensive Benefits - Healthcare, dental, vision coverage. Work With the Best - Join a world-class team of engineers and builders. Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible. The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller. By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer. In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data. If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR. For more information, visit https://www.happyrobot.ai/privacy-policy By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next. Job Title: Director, Data Center Construction Company: Prologis A day in the life As the Director, Data Center Construction, you will take ownership for leading construction activities of data center delivery (both speculative and build‐to‐suit). As part of handling key data center construction projects, this person works to ensure accurate staffing to run forecasted construction activity, providing cost and budget information for investment memos, leading the technical side of the entitlement process as well as optimizing designs and contractor bidding. Key success factors include the active mentoring and management of a best-in-class development team, partnering with local deployment team, enabling excellent communication with regional partners, and innovation and implementation of data center development standard methodologies. The position requires a high degree of energy, passion, technical competence and integrity. This person will be based in our Dallas office and interact daily with Prologis data center, development, and deployment teams. Key responsibilities include: Coach the Prologis data center project management team across performance, staffing and growth. Lead the construction process for new-build and retrofit data center projects, ensuring alignment with company standards and client requirements from concept to completion. Work closely with the data center design team to uphold design integrity and resolve construction challenges related to design intent. Own your development portfolio performance (cost, schedule, quality, safety). Monitor project milestones to ensure timely delivery of project deliverables. Mentors and leads junior colleagues by providing feedback, supervising performance, sharing expertise and honing judgement skills. Accountable for ongoing innovation and initiatives. Drive impact and show strength of lean construction, GC bid negotiations and design optimization initiatives against targets. Develop and own relationships with General Contractors. Work with procurement to own cost saving measures. Key success factors include the active mentoring and management of a best-in-class development team, partnering with market deployment teams, enabling excellent communication with regional stakeholders, positive contributions to our company culture, and innovation and implementation of development best practices. Building blocks for success Required: 7+ years of experience in a similar role working in the field of Real Estate Development (data center focused), Civil Engineering, Architecture, or Construction Management. Computer proficiency: MS Project, BlueBeam, Google Earth, in addition to normal Microsoft Office tools. Ability to travel, as necessary, to projects (Approximately 30% travel). Preferred: Bachelor’s of Science in Construction Management, Architecture, or Engineering (Civil or Structural) or equivalent experience preferred. Additional experience on design and build projects is preferred but not required. Consistent track record working in the field of land development or construction management. If education is technically in engineering, architecture or real estate development, applicant should have a minimum of three concurrent years’ experience working on construction projects. Project management experience with a general contractor or owners rep is helpful. Experience championing a project from acquisition through due diligence, entitlements and permitting. Be self‐motivated and have the ability to multi‐task and prioritize with minimal direction. Possess a hardworking, positive demeanor, be a standout colleague and customer service oriented. Display excellent written and verbal communication skills. Proactive in approaching solutions and problem solving. Promote the Prologis brand with passion in a positive, can do demeanor with a real focus on efficiency and effectiveness. Hiring Salary Range of: $145,000 - $217,000. Salary and whole compensation package (bonus target & LTI) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. #LI-TA1 People First Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here. When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here. As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here. All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time. All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Employment Type: Full time Location: Dallas, Texas Additional Locations: Atlanta, Georgia, Atlanta Office, Chicago, Illinois, Chicago-Downtown Office, Chicago Office

STV is seeking an Energy Marshal - Data Centers, Mission Critical for the Construction Management Group in New Albany, OH. Responsibility Statement Responsible for planning, coordinating, developing, and implementing the Electrical Energy Marshall Program. Partner with the Project EH&S Manager and QCx Manager to ensure project site compliance with company environmental, safety and health policies and procedures. Organizational Responsibilities Reports to Project EH&S Manager Direct Reports Energy Marshall Responsibilities Comprehensive oversight for all energy management duties View and approve all change of energy permits ensuring there is a comprehensive review by appropriate parties (i.e. owner of utility, specialists such as electrical engineer where appropriate. Verify all SBS (Step by Step) processes on permits and method of procedures (MOPs) are appropriate to the task and approved, prior to commencing work. Shall communicate and coordinate with all stakeholders (utility service companies, substation contractor, owner, DCOPS, DCS, Trade partners, etc. ) as we energize Verify Lockout – Tag Out (LOTO) program is in place, understood by all participants, and training is performed as deemed appropriate. Verify that all energized rooms / systems have a controlled access process in place Verify that all qualified and competent person(s) are designated for all high-risk activities (i.e. Live-Dead-Live (LDL), Infrared (IR) Scanning, etc.) Verify accurate and up-to-date single-lines/one-lines are in place and work is tracked accordingly Verifies all processes and procedures are in place and meets established criteria, prior to start-up, switching, or any other Commissioning (Cx) activities Verify that each step of the change of energy process included in the specific MOP has been completed Reports all deficiencies, near misses or incidents immediately to all stakeholders Performs regular assessments on energy management training and its implementation on the project Safety Responsibilities Know the subcontractors scopes and contracts. Identify, eliminate and control hazardous conditions that may lead to injury and or property damage using job specific safety standards, best management practices, and the Building L.I.F.E. program. Review and interpret environmental and hazardous materials reports and conditions and provide guidance to the project. Build working relationships with project partners to lead and direct assigned projects in implementing cultural changes in safety. Analyze problems, make recommendations, and drive positive change. Communicate to leadership and project team the requirements for improving performance including addressing issues, concerns, and corrective actions. Review Risk Management policies related to environmental compliance, coordinate pre-planning efforts and communicate requirements to project team and/or subcontractors. Coordinate mitigation activities with Project EH&S Manager. Interpret OSHA and EPA regulations specific to environmental hazards, such as asbestos, PCBs, and lead, etc. Develop and implement programs, beyond the overall project safety program, that benefit the safety, health and wellbeing of workers. Prepare and present project EH&S information to staff and the Project EH&S Manager. Educate and mentor other project safety staff (safety committee). Input a minimum of three (3) safety observations into per week. Input one (3) Critical Safety Behavior (CSB) coaching observation into Predictive Solutions SafetyNet per week. Read and fully understand the Site Specific Safety Program to ensure consistent and efficient policy enforcement in the field. Conduct project safety orientations in a rotation with the Safety Team. Establish accountability for safety amongst other site departments (i.e. engineering, superintendents, etc.). Attend and participate/encourage productive results in trade partner pre-task plans/huddles. Perform other duties as requested by the Project EH&S Manager. Lead and conduct prompt incident investigations, gather all pertinent information / documentation for the incident files, and create / distribute closing reports (root cause analysis, RAG, lessons learned, etc.). This is to be completed within 24 hours of the incident; communicate delays to the Project EH&S Manager and Project Safety Manager. Compensation Range: $112,253.66 - $149,671.54 Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles. STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (8 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will manage the lifecycle of product tools and solutions. You will gather requirements, create, maintain, and work to ensure quality assurance across multiple domains to develop high-quality automated analytics products. Responsibilities: Develop large, complex analytics products and new stories and provide guidance to others in the design of analytics products. Gather, analyze, and document user requirements and translate them into user stories; oversee user requirements process and translation of requirements into user stories for other team members. Plan and conduct stakeholder interviews to gather requirements and understand current business processes; oversee other team members conducting stakeholder meetings. Develop and maintain product backlogs and provide guidance on dependent stories to address potential overlap or conflicting modifications between a new and existing solutions. Implement and oversee requirements traceability from user stories to product features. Lead discovery workshops to aid in requirements discussion. Write SQL code and lead code and design reviews to maintain standards. Develop, implement, and validate logical and physical models used to build out a data warehouse. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. Create Extract, Transform, Load (ETL) processes joining various data sources including Cloud, Vertica, MS SQL, and Oracle into a common package. Utilize and lead technologies including Automic to create scheduling packages. Assess project requirements and articulate issues and challenges to reduce project delivery risks. Lead architecture and design sessions at a product level, lead defect triage activities. Create and execute test cases assessing condition and quality of software builds and releases, and identify defects. Train team members on estimates and planning for development and execution and report on project estimates. Facilitate team documentation and results of executed test cases for tracking and release planning. Qualifications: Relevant degree preferred. Degree in Computer Science or Engineering a plus. 7 or more years of relevant experience required. Experience as an Analytics Engineer, BI Developer, or Data Scientist required. Experience in SQL database management systems, online analytical processing, and ETL frameworks required. Experience with dbt (data build tool) for data transformation workflows required. Experience with Azure DevOps (ADO) for source control, Continuous Integration/Continuous Deployment (CI/CD), and backlog management required. Experience with SQL queries and SQL Server Integration Services (SSIS) required. Skills in data warehouse design, including dimensional modeling and data mining preferred. Experience with ChatGPT, Atomic, and other AI tools preferred. BI technologies including Microsoft Power BI or MicroStrategy preferred. Healthcare experience is preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025

Job Description The Data Analytics Manager at Boston University is responsible for supporting the field with oversight and leadership in driving growth through retention and vertical growth targeting. The role will also produce all sales reports and act as system administrator for key growth enablement programs and maintain the Global Sales Team budget. This position will focus on data integrity, best practices, and ongoing compliance with internal and external controls. Work situations vary and require development, analysis, interpretation of data to support the implementation of policies, practices and procedures. COMPENSATION: The hourly rate or salary range for this position is $80,000.00 to $85,000.00. If both numbers are the same, that is the amount that Aramark expects to offer. This is Aramark's good faith and reasonable estimate of the compensation for this position as of the time of posting. BENEFITS: Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources. Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage. Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works. For more information about Aramark benefits, click here Aramark Careers - Benefits & Compensation. There is no predetermined application window for this position, the position will close once a qualified candidate is selected. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable laws, including, but not limited to all applicable Fair Chance Ordinances and Acts. For jobs in San Francisco, this includes the San Francisco Fair Chance Ordinance. Job Responsibilities Produce and distribute Weekly Sales Update to Enterprise Leaders, detailing each week's won/lost/pending/pipeline activity. Maintain the master database of all won/lost activity for all ARAMARK BU's and countries. This requires significant field coordination, updating currency translation and a keen eye to monitor, identify and correct inconsistent field reporting. Research, prepare and present written and oral reports. Periodically conduct ad hoc research and develop and present reports to communicate insights and implications from Sales Reporting analysis to assist in the development of growth acceleration strategies. Oversee communication and implementation of field sales reporting processes, definitions and behaviors to ensure consistent reporting practices. Develop and conduct training for in-house growth enablement systems. Maintain security model for user communities of key sales enablement systems. Field support calls, supply troubleshooting guidance and log support tickets to address technical issues. Monthly tracking and projection of all Global Sales expenses to assure we are on track to improve the company's investment without going over budget. Ensure that activities are on strategy and within budget. At Aramark, developing new skills and doing what it takes to get the job done make a positive impact for our employees and for our customers. In order to meet our commitments, job duties may change or new ones may be assigned without formal notice. Qualifications A minimum of 2-4 years of progressive responsibility in sales analysis or accounting with responsibility for reporting. Requires a bachelor's degree or equivalent experience Prior experience with sophisticated financial computer applications (e.g. Microsoft Office, Oracle or other general ledger) Must be able to communicate findings, analysis, implications and recommendation to varied stakeholder audiences Able to work independently but collaboratively within the Global Sales team and other enterprise functional areas. Must demonstrate strong problem-solving skills, both analytical and conceptual. Education About Aramark Our Mission Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law. About Aramark The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter. Nearest Major Market: Boston

About Grocery Outlet Our Mission: Touching lives for the better Our Vision: To be the first choice for bargain-minded consumers in the U.S. Our Values: Achievement, Diversity, Entrepreneurship, Family, Fun, Integrity & Service About the Team: Our BT team's mission is to push the boundaries of technology with the intention of going above and beyond to aid stores and customers and deliver timely solutions to benefit all members of Grocery Outlet. Our team consists of problem solvers and go-getters who are dedicated to being service-oriented and solving important problems. About the Role: As Director of AI & Data, you will own Grocery Outlet's enterprise strategy and execution for artificial intelligence, data science, and data governance initiatives. Reporting to the VP, Development & Data, you will build and lead a team responsible for leveraging data-driven insights and advanced analytics to optimize decision-making, improve operational efficiency, and drive strategic business value across the organization. You will guide the design and implementation of Grocery Outlet's data science, AI, and data governance programs-ensuring robust data management, governance practices, and the development of innovative AI-enabled solutions that support key business areas such as merchandising, supply chain, marketing, and operations. You will collaborate closely with senior stakeholders across Business Intelligence, Enterprise Data Architecture, and Business Solutions to align data and analytics investments with enterprise goals. Responsibilities Includes: Strategic Leadership & Vision Define and execute comprehensive data science, data governance and AI strategy aligned with corporate priorities Act as an influential advisor to executive leaders and business stakeholders on leveraging AI and data-driven insights Champion the responsible and ethical use of AI and data, ensuring that all initiatives balance business value with transparency, security, and regulatory compliance Lead the development and execution of Grocery Outlet's enterprise data governance framework AI & Data Science Development Lead the vision and roadmap for advancing enterprise data capabilities and scaling AI, and advanced analytics across core business areas Lead enterprise data development initiatives to improve data quality, cleanse and standardize master data Drive close collaboration across the data team, business data organization, IT, and functional stakeholders to accelerate prototyping, testing, and deployment of analytics solutions Stay current on emerging AI techniques, platforms, and trends; introduce innovation and best practices Data Governance & Management Establish and enforce standards, policies, and procedures for data quality, accuracy, security, privacy, and compliance Oversee the design and implementation of data lineage, and master data management (MDM) practices Collaborate closely with Enterprise Data Architect to ensure data availability, integrity, and accessibility across the enterprise Define and publish KPIs and metrics for data governance effectiveness and maturity People & Team Leadership Recruit, build, and lead high-performing teams of data & AI engineers, and data governance specialists Foster a culture of collaboration, accountability, and continuous learning within your teams Provide coaching and professional development to drive growth and career progression Manage relationships and performance with external vendors, consultants, and analytics partners Performance & Value Realization Measure, track, and communicate the business impact and value of AI and data initiatives Develop clear success criteria, metrics, and dashboards for analytics-driven outcomes Partner with Finance and the PMO to quantify and articulate the ROI of investments in AI, data science, and governance Ensure transparency, timely delivery, and alignment of analytics projects with organizational goals About The Pay: Base Salary Range: $165,000 - $185,000 Annual Bonus Program Equity 401(k) Profit Sharing Medical, Dental, Vision & More! Final compensation will be determined based upon experience and skills and may vary based on location. About You: You are a visionary, strategic leader who sees data and AI as powerful enablers of business success. You combine deep technical expertise in data science, AI, and analytics with strong business acumen and excellent stakeholder communication. You are passionate about turning data into actionable insights that move the needle. 12+ years of experience in data science, analytics, or data governance roles 5+ years leading data science, AI, or enterprise analytics functions at a senior level Proven track record of successfully delivering AI and analytics solutions that drive measurable business impact Deep knowledge of machine learning techniques, predictive modeling, statistical analysis, and data visualization tools Strong understanding of data governance frameworks, data privacy, security, and regulatory compliance (e.g., CCPA, GDPR) Experience building and scaling analytics and data teams within retail, consumer products, or supply chain organizations Bachelor's degree in computer science, Data Science, Engineering, or related field required; Masters or advanced degree strongly preferred Exceptional executive communication and stakeholder engagement capabilities Collaborative and inclusive leader who builds strong relationships across business and technology functions Skilled at translating complex data concepts into clear business insights and strategic recommendations Metrics-driven and outcome-focused; disciplined in demonstrating the ROI of analytics investments Strong team-builder and mentor with a proven ability to attract, grow, and retain analytics talent Innovative thinker who proactively explores new techniques, tools, and industry trends To learn about how we collect, use and secure your personal information. Click here to see our privacy policy.

Schedule Monday-Friday 7:30am-4:15pm (On-site) Salary $45,000 to $67,500 What is the opportunity? Foundation Academies is an innovative school community focused on building independence, ingenuity, empathy, and leadership through enrichment programming, agile learning, and exceptional instruction. That's where you come in. Are you a data-driven professional who thrives on organizing complex information, streamlining processes, and supporting educational outcomes through analytics? We're looking for a Data Support Specialist who will play a critical role in ensuring the integrity and effective use of academic data to improve student and teacher outcomes. Your work will directly impact leadership decisions, instructional strategies, and school success metrics. Ready to grow with us? What is in it for you? Merit-based pay increases annually Comprehensive medical, dental, and vision benefit plans Tax-deferred 403b retirement account with 25% matching up to a certain amount Free financial wellness advising through our Financial Advisor Service Optional short or long-term disability benefits through Aflac Regular strategic professional development and coaching Career advancement opportunities Smartphone and fully paid wireless plan through T-Mobile Windows-based laptop Regular team-building activities and outings 10 sick days and 3 personal days that roll over annually 20 vacation Days (5 Roll-over annually) A rewarding career that positively impacts the lives of our amazing students What will you be doing? As a Data Support Specialist, you will work closely with the Senior Manager and academic leadership teams to ensure our schools are informed by accurate, actionable data. Your key responsibilities will include: Data Management: Assist with cleaning, organizing, and analyzing academic datasets, including iReady, MAP, and other internal assessments. Report Creation: Create reports, visualizations, graphs, and presentation slides to help stakeholders understand school performance. Performance Metrics: Support calculations for key metrics such as student progress, teacher retention, and other indicators tied to academic excellence. SOP Development: Help write and update Standard Operating Procedures to ensure consistency in data handling and reporting. Test Administration Support: Assist with organizing assessments and maintaining data accuracy throughout the testing process. Data Integration: Help integrate data across various systems like Tableau, NJSmart, and internal platforms to ensure complete and aligned reporting. Participate in school and organization-wide family events and support school initiatives when needed. What do we require from you? Bachelor's degree required; background in education, data analysis, information systems, or related field preferred 2+ years of experience working in a school or educational setting, especially in an urban environment, is preferred Strong proficiency in Excel/Google Sheets and familiarity with data platforms such as iReady, MAP, Tableau, or NJSmart Meticulous attention to detail and a strong sense of data integrity and confidentiality Welcomes the challenge to grow, learn, and improve in a collaborative environment. Committed to serving our scholar population in an anti-discriminatory learning environment. Semifinalist candidates will be required to provide unofficial transcripts, evidence of certification/eligibility, and 3 professional references. Hired candidates are responsible for the following: official transcripts, criminal clearance (fingerprinting), and medical clearance (TB/Mantoux testing). Want to join our FAmily? We are Foundation Academies: Trenton, New Jersey's largest and highest-ranking K-12 free public charter school serving more than 1,000 scholars across three schools on two campuses. Our mission is to ensure that all of our students secure the academic knowledge and skills to prepare them for the nation's finest colleges, and to instill in them the core values of caring, respect, responsibility, and honesty. We admit students by lottery, irrespective of gender, race, household income, or academic ability. Our team of experienced and mission-driven urban educators values growth mindsets, lifelong learners, and individuals who believe that every child deserves an excellent education. We hold ourselves, our students, and our city to high standards because that's what our families deserve. We are conveniently located a quick car ride to downtown Princeton, a 45-minute SEPTA ride to Philly's Center City, and a hop on the NJ Transit Express to New York City. Equal Employment Opportunity Statement: Foundation Academies is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best available persons in every job. Foundation Academies prohibits unlawful discrimination based on race, color, creed, gender, gender identity, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status, or any other consideration made unlawful by federal, state, or local laws. All such discrimination is unlawful and prohibited by Foundation Academies. It is also our policy to comply with all applicable state and federal laws respecting consideration of unemployment status in making hiring decisions.

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we're looking for a Staff Data Scientist on the Fraud Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you! As a Data Scientist, Fraud Detection at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. As part of the data science group at IAS, you will push the boundaries of applications of machine learning (ML) and deliver best-in-class solutions to serve our clients. Innovation is at the heart of our competitive advantage, and innovation starts with people and culture. You will join a group of data scientists committed to deep collaboration and high quality scientific research, ultimately producing a lasting impact on the IAS business. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, ranging from ML, mathematics, physics, biology, neuroscience, and computer science to finance and economics. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table. What you'll get to do: Drive innovative research within the data science fraud team, improve the accuracy and increase the scope of our IVT (invalid traffic) detection capabilities in web, mobile, CTV, gaming, social media etc. Collaborate with the Threat Lab, understand the nature of evolving fraud schemes and invent creative, quantitative solutions to identify and stop them Develop automated IVT detection systems based on science, data, and ML applications. Communicate the value they add to multiple stakeholders across the organization, socialize the predictive power and business value of data-driven ML Join a team of highly motivated ML researchers and developers, own projects from end-to-end, while collaborating with team members, learning, mentoring, contributing to the collective impact data science has on the IAS business Collaborate with engineers to integrate fraud solutions within larger engineering workflows Mentor junior data scientists to innovate and build high quality fraud solutions Respond to internal and client-facing incidents as they arise You should apply if you have most of this experience: PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience) 6-10 years experience solving analytical problems using quantitative approaches and ML methods in a business environment Practical experience building ML systems, ideally using weak supervision and automated data labeling. End-to-end ownership of your work: from prototyping, debugging, evaluation, optimization, production deployment, to live monitoring Knowledge of cutting edge research in ML applications and deep learning Capable of using SQL to answer key data questions at the drop of a hat Expertise in standard scripting languages used in data science for statistical computation: Python, R Enthusiasm for telling stories with data, deep understanding of how data works and flows through systems to produce business outcomes An innate curiosity about data problems, strongly held commitment to getting to the bottom of things A love of science, the scientific method, and faith in your fellow practitioners in the scientific trade California Applicants: The salary range for this position is $135,100 - $231,600. Actual pay may vary based on experience or geographic location. About Integral Ad Science Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com. Equal Opportunity Employer: IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. California Applicant Pre-Collection Notice: We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com. To learn more about us, please visit http://integralads.com/ Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership. #LI-Hybrid

Position: AI-Enabled Solution Architect - Data Modernization, GenAI & Business Impact We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients. You'll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions. Key Responsibilities Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON). Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multi-modal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). Drive data quality through embedded validation, monitoring, and automated reporting frameworks. Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support. Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. Mentor and grow a high-performing team of architects, engineers, and analysts-fostering innovation, cross-functional collaboration, and delivery excellence. Champion AI and data architecture as strategic enablers of business transformation-linking technology decisions directly to measurable client outcomes. Technologies & Concepts Programming & APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2 GenAI & Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search) AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Ideal Background Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges. ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving. We take our work seriously but not ourselves. It's the perfect balance of freedom and accountability. If you want to be part of something great - join us! Equal Employment Opportunity and Nondiscrimination Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person's gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.

Navan is modernizing the infrastructure of business travel, expense, and spend management - and data is central to that mission. We are seeking a Senior Revenue Operations Analyst, Data Quality to own the integrity and trustworthiness of our go-to-market data, enabling Sales, Marketing, and Revenue Operations to move faster and smarter. In this role, you'll be responsible for identifying, measuring, and improving the quality of GTM data across systems, with a focus on solving problems at the point of data creation. You'll also own the integration and management of third-party data sources into our CRM, ensuring consistency, accuracy, and usability across the GTM tech stack. You'll partner cross-functionally with system owners, data analysts, and operations teams to build scalable data quality practices that support revenue growth and operational excellence. This is a high-impact role for someone who thrives on getting into the details of complex data problems while building processes and tooling that scale. What You'll Do: Own all phases of GTM data quality projects from project planning through execution and completion Define and maintain data quality rules, standards, metrics, and processes, including ROI calculations Build Data Quality dashboards and other methods to measure and report on data quality Lead the integration and maintenance of 3rd party data sources into our CRM , ensuring proper mapping, deduplication, and usage across systems Work cross-functionally to identify and fix data quality issues using sustainable and best-practice tools and processes Maintain a backlog of data quality issues, priorities, and status Investigate root causes of recurring issues and implement long-term, scalable solutions Collaborate across multiple stakeholders and elevate critical issues and blockers to leadership when necessary Lead the central design and operationalization of GTM territories in partnership with Sales Strategy, ensuring scalable, data-driven segmentation across geographies, segments, and roles Maintain clear, centralized documentation of territory logic, segmentation rules, and account assignment workflows to ensure transparency and consistency Build tools and dashboards to monitor territory coverage, account distribution, and rep capacity, enabling leadership to make informed planning decisions What we're looking for: Bachelor's Degree in Computer Science, Data Analytics, Information Systems, or equivalent 3+ years of Sales Strategy, Revenue Operations, and/or Marketing Operations 3+ years of experience managing 3rd party data vendors or providers Experience owning 3rd party data integrations into a CRM, including field mapping, deduplication logic, and system performance impact 5+ years of experience developing complex SQL, including multi-table joins and analytical functions 3+ years interfacing with Salesforce or similar CRM platforms 3+ years managing projects end-to-end, including task definition, work estimation, and status reporting Experience solving for data quality problems in Salesforce Demonstrated ability to work in fast-paced, often ambiguous environments with adaptability and focus Preferred Qualifications: Advanced in SQL and other analytics tools Snowflake, BigQuery, Etc Experience with territory data management Experience working for a B2B SaaS or high-growth software company Prior exposure to 3rd party data strategy across a globally diverse user base Familiarity with ticketing systems like JIRA or ServiceNow

Looking to build connections, careers, and a future at one of North America's largest food service distributors? Do this and more as a Gordon Food Service intern at our Home Office! Our 12-week paid internship program offers firsthand experience and meaningful projects that have an impact on our business. Throughout the program, you'll have the opportunity to work alongside industry professionals receiving mentorship, professional development, and networking opportunities that will expose you to various aspects of our industry. Build Connections By: Working alongside our Vendor and Customer Master Data team that serves our customers, employees, and partners across North America and Canada. Collaborating with other Gordon Food Service interns and employees in the following areas: Communications Finance Accounting Human Resources IT Marketing & Merchandising Supply Chain Communications Build a Career: In the Vendor and Customer Master Data department by: Ensuring all products and relevant vendor information have corresponding high-quality images for internal and external use, such as e-commerce platforms, internal catalogs, and marketing materials. Verifying that all food items have accurate and complete nutritional information, including caloric content, macronutrients (proteins, fats, carbohydrates), micronutrients, and other dietary details, which is vital for regulatory compliance and consumer information. Confirming that every product's ingredient list is fully documented, detailed, and compliant with all relevant food labeling regulations, allowing for proper allergen tracking and consumer transparency. Build the Future by: Being an intern at Gordon Food Service, North America's largest family-owned broadline food service distributor and working alongside our department Attending unique networking opportunities in and outside the office. Engaging in our mentorship program Shadowing jobs across the organization to explore your career path potential Participating in Gordon Food Services' community and stewardship efforts Developing personal and professional skills through workshops about communication, LinkedIn, presenting, and more Meet the following qualifications to be considered for our 2026 internship program: Currently enrolled in a university pursuing a Bachelor's degree in Data Analytics, Business, or Computer Science. Must be authorized to work in the US. Must have a 3.0 GPA or higher Taking advantage of our competitive benefits package including: Paid Weekly Flex Hours Gordon Food Service Store Discount Employee Assistance Program Ready to start building? Apply today! Looking to build connections, careers, and a future at one of North America's largest food service distributors? Do this and more as a Gordon Food Service intern at our Home Office! Our 12-week paid internship program offers firsthand experience and meaningful projects that have an impact on our business. Throughout the program, you'll have the opportunity to work alongside industry professionals receiving mentorship, professional development, and networking opportunities that will expose you to various aspects of our industry. Build Connections By: Working alongside our Vendor and Customer Master Data team that serves our customers, employees, and partners across North America and Canada. Collaborating with other Gordon Food Service interns and employees in the following areas: Communications Finance Accounting Human Resources IT Marketing & Merchandising Supply Chain Communications Build a Career: In the Vendor and Customer Master Data department by: Ensuring all products and relevant vendor information have corresponding high-quality images for internal and external use, such as e-commerce platforms, internal catalogs, and marketing materials. Verifying that all food items have accurate and complete nutritional information, including caloric content, macronutrients (proteins, fats, carbohydrates), micronutrients, and other dietary details, which is vital for regulatory compliance and consumer information. Confirming that every product's ingredient list is fully documented, detailed, and compliant with all relevant food labeling regulations, allowing for proper allergen tracking and consumer transparency. Build the Future by: Being an intern at Gordon Food Service, North America's largest family-owned broadline food service distributor and working alongside our department Attending unique networking opportunities in and outside the office. Engaging in our mentorship program Shadowing jobs across the organization to explore your career path potential Participating in Gordon Food Services' community and stewardship efforts Developing personal and professional skills through workshops about communication, LinkedIn, presenting, and more Meet the following qualifications to be considered for our 2026 internship program: Currently enrolled in a university pursuing a Bachelor's degree in Data Analytics, Business, or Computer Science. Must be authorized to work in the US. Must have a 3.0 GPA or higher Taking advantage of our competitive benefits package including: Paid Weekly Flex Hours Gordon Food Service Store Discount Employee Assistance Program Ready to start building? Apply today!