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The Enterprise Data and Analytics (ED&A) department is dedicated to transforming healthcare data into actionable insights that enhance patient care, quality, and operations. Reporting to the Associate Director, Enterprise Data and Analytics, the intern will join the ED&A team within the DFCI Informatics and Analytics department.   As an Analytics Intern on the ED&A Team, you will work as part of a team, under the supervision of a team member. You will be tasked with development and maintenance of a wide range of reporting and analytic tools to help evolve and scale a wide range of analytics for Dana-Farber's Cancer Pharmacy Department.  The intern will work on assignments including complex data analysis projects that can be multi-disciplinary or interdepartmental.   In this role you will learn how to translate stakeholder specifications into programming logic, create insight-driving visualizations, and train end users on new reports. You will develop an in-depth understanding of DFCI’s data and data structures. You will also learn how to effectively collaborate with the Enterprise Data Services team to address data requirements for analytic reporting, as well as other Informatics and Analytics (I&A) teams with expertise in specific data systems and/or analytical methodologies. You will work with a variety of tools (ex: Snowflake, SQL, Excel, Tableau, etc.) to access data, write queries, develop programming logic, run reports, manipulate data, and analyze datasets to meet the needs of the institute.  The Mission, Vision, and Core Values of the Dana-Farber Cancer Institute are incorporated into all areas of practice.   Located in Boston and the surrounding region, Dana-Farber Cancer Institute is a leader in life-changing breakthroughs in cancer research and patient care. We strive to create an inclusive, kind, diverse, and equitable work and patient environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, educate tomorrow's physician/researchers, and work with amazing partners, including other Harvard Medical School-affiliated hospitals. Our team is highly engaged and drives innovation. Requirements Intern 40 hours/week for 6 months (partial remote*) Assist the team in providing quantitative and qualitative reporting support to various departments, primarily Pharmacy and expanding to other DFCI departments. Reporting areas could be related to sub domains within Pharmacy like operations, Safety, Outpatient, Clinical Services etc. or other departments. Under supervision of another team member, work with internal clients to develop and translate business requirements into project charters, business and technical requirements, wireframe models, and ultimately produce effective and insightful interactive analytics, in collaboration with other ED&A team members Utilize business intelligence tools to create reports and dashboards Support delivery of custom data analytics solutions for ad hoc requests Partner with other team members and serve as a technical partner for compiling, cleaning, manipulating, and analyzing data related to assigned projects Set and deliver on reasonable expectations for deliverables Prepare summaries of important insights  Diagnose and respond to adhoc/support requests regarding data integrity and functional or interactive issues in existing and future dashboards quickly and effectively Identify appropriate sources for data deliverables in collaboration with Enterprise Data Services team Remain open-minded about data exploration, vet work with the support of team members and ensure accuracy of all reports before delivering end-results Escalate issues, concerns, and problems which may hinder achievement of deadlines and or/ accomplishments of responsibilities to the attention of the ED&A leadership promptly Perform other similar and related duties as required or directed Participate in project team meetings and work with senior leadership within ED&A   *This job is designated as partial remote with work being performed onsite (Boston, MA) 2-3 days per week. Remote work may only be performed from any of the New England states only (ME, NH, VT, MA, CT & RI).   Qualifications Minimum Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Finance, Accounting, Business, Math, Statistics, or a related field Technical Skills: Familiar with SQL for querying, organizing, and working with data from relational databases Exposure to business intelligence tools such as Tableau for building reports and data visualizations Comfortable using Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) Quick learner with the ability to pick up new software tools and technologies     KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Demonstrates strong analytical reasoning and problem-solving capabilities Quality-focused with high attention to detail and accuracy Organized and able to manage and prioritize multiple tasks or projects in a complex, deadline-driven environment Strong verbal and written communication skills Able to present results in informal settings and clearly share ideas with supervisory oversight Communicates progress and shares ideas clearly with team members and supervisors Works effectively both independently and as part of a team Builds respectful, collaborative relationships with diverse groups of staff and faculty Comfortable navigating frequently changing needs, priorities, and deadlines Motivated, self-directed, and eager to learn in a fast-paced environment Open to feedback and committed to continuous growth Displays integrity and a strong sense of ethics, aligned with DFCI’s mission Flexible and adaptable to shifting priorities and team needs Benefits HOURLY RATE: $25/hour

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today’s most pressing challenges with cutting-edge solutions. As a Data Analyst reporting to the Team Manager of Data Engineering, you will transform raw data into clear, actionable insights that drive product, marketing and operations decisions. You will own dashboards, deep-dive analyses and lightweight predictive models that help us measure and reduce vehicle-crime risk. Responsibilities: Own BI assets – design, build and maintain Tableau/Grafana dashboards and scheduled reports for product, engineering and leadership teams. Ad-hoc & exploratory analysis – mine structured and semi-structured data (SQL, Python/R) to answer business questions, quantify opportunities and size impacts. Basic predictive analytics – develop and validate regression / classification models (e.g., churn, anomaly-detection) and translate results into recommendations; partner with senior data scientists for model hand-off when needed. Data quality & definitions – maintain curated data sets, documented metrics and acceptance tests to ensure stakeholders trust the numbers. Stakeholder communication – present findings through slide decks, concise write-ups and data visualizations tailored to technical and non-technical audiences. Process improvement – automate recurring analysis, contribute SQL/Python snippets to our shared repo, and suggest instrumentation enhancements. Requirements Minimum Requirements and Qualifications: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or a related quantitative field. 2-4 years of professional analytics experience manipulating large data sets and delivering insights. Advanced SQL skills (window functions, CTEs, performance tuning) and proficiency in Python or R for data wrangling and visualization. Experience with a modern BI/visualization tool such as Tableau, Power BI or Grafana. Solid understanding of descriptive statistics, hypothesis testing and basic supervised-learning techniques. Strong written and verbal communication skills; ability to turn complex analysis into clear business narratives. Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously. Preferred Qualifications: Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and dbt or similar ELT frameworks. Familiarity with A/B testing design and evaluation. Exposure to Telematics/IoT data. Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed. Benefits Comprehensive medical benefits coverage, dental plans and vision coverage. Health care and dependent care spending accounts. Employee and Family Assistance Program (EAP). Employee discount programs. Retirement plan with a generous company match. Generous Paid Time Off, Sick, and Holidays Family Leave (Maternity, Paternity) Short- and long-term disability Life insurance and accidental death & dismemberment insurance Compensation Range Compensation may vary depending on skills and experience. Base Salary:  $79,400 - $111,000 Diversity, Equity and Inclusion:  At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success. Equal Opportunity:  Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Job Summary: We are looking for a Remote Data Entry Clerk to join our team and help us maintain accurate and up-to-date information in our databases and systems. The ideal candidate will have excellent typing skills, an eye for detail, and the ability to work independently. This role is crucial to ensuring that our data is reliable and easily accessible to our team members and clients. Key Responsibilities: • Accurately enter data into various databases and systems from source documents within time limits • Review data for deficiencies or errors, correct any incompatibilities, and check the output • Verify data by comparing it to source documents • Update existing data and retrieve data from the database as requested • Perform regular backups to ensure data preservation • Organize and maintain files and records for efficient data retrieval • Collaborate with team members to address any discrepancies or issues with data entry • Maintain confidentiality and security of sensitive information Requirements: • Proven experience as a Data Entry Clerk or similar role • Excellent typing speed and accuracy • Strong attention to detail and ability to spot errors • Proficiency in using data entry software and Microsoft Office Suite (Word, Excel, etc.) • Ability to work independently and meet deadlines • Strong organizational and time management skills • Excellent communication skills, both written and verbal • High school diploma or equivalent; additional qualifications in data management or related fields are a plus Preferred Qualifications: • Experience with remote work and virtual collaboration tools • Familiarity with data protection regulations and best practices Compensation: • Competitive pay rate of $18 to $24 per hour • Flexible working hours and remote work environment • Opportunities for professional growth and development • Supportive and collaborative team culture • Access to the latest technology and tools to perform your job efficiently

The Contractor shall conduct CD threat assessments and shall also track and report DASD-CN/SP required metrics for all project codes tied to the ONI CN Department as part of the Department of Defense Counterdrug (CD) Program Performance Measurement Plan (PMP). This will include data entry into appropriate databases, tracking 10 U.S.C. 284(b) data, compiling data for quarterly reports, aiding ONI CN Department leadership in its reporting of this data to DASD-CN/SP. The Contractor will consolidate, mine and analyze data from existing/future CN Department data to determine customer feedback that can improve formal and ad-hoc production. The Contractor will send periodic surveys to CN Department customers to collect feedback on existing products to determine and track utility and accuracy of information. The Contractor shall work independently and with CN Department Leadership to understand database structure and data science processes, collaborating with end users to understand and troubleshoot platform issues and develop appropriate solutions when required. The Contractor will analyze, define requirements, develop and create documentation for reporting to DASD-CN and, if determined by the TPOC, to Kennedy Command Staff, establish standards and best practices for requesting, prioritizing and developing reporting processes, and champion reporting quality, consistency, usability and reliability by documenting and applying best practices to design and development. The Contractor will communicate project status and provide CN Department leadership updates and recommendations, and any additional requirements as determined by the TPOC. · Possess an Active Top Secret/SCI Eligibility level clearance for the duration of the PoP; · Possess three (3) years all-source analytical experience that addresses experience writing or supporting analytical products; OR a bachelor’s degree in a related technical field (i.e. International Relations, Intelligence Analysis). · Have knowledge of or experience in data science, data management or data analytics. · Understand and have a working knowledge of the Intelligence Community Analytic Standards as set by the Office of the Director of National Intelligence within the Intelligence Community Directive 203. The Contractor must demonstrate proficiency in Intelligence Production Tradecraft, which includes the following qualities: o Classification of documents o Intelligence Sourcing Methodology o Using the Telegraphed Inverted Pyramid Model (TIPM); and · Have a minimum four (4) years of experience working with Microsoft Office Software. · Have a minimum two (2) years of experience demonstrating effective communication both orally and in writing · Have knowledge of maritime security and capabilities · Have a minimum two (2) years of experience working knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage etc.) · Have a minimum two (2) years of experience utilizing a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) · Conduct CD threat assessments of illicit drug/precursor chemicals being transshipped via commercial/non-commercial maritime vessels or methods, to include within shipping containers · Conduct Automatic Identification System (AIS) analysis · Prepare detailed assessments on drug trafficking organizations (DTO) and other illicit actors’ networks, affiliation with maritime transportation networks/companies, TTPs and maritime routes · Provide analytic support to national, theater, and law enforcement intelligence requirements through varied assessments to include but not limited to: o DTO Threat Assessment o Regional Assessment of Maritime Narcotics Flows o CD Force Assessments o Port CD Threat Assessments o CN Baseline Assessments o Maritime Intelligence Report (MIR) o ONI Today (ONIT) Report o Maritime Capability Milestones Format · Conduct data entry into appropriate databases, tracking 10 U.S.C. 284(b) data, compiling data for quarterly reports. · Aid ONI CN Department leadership in its reporting of this data to DASD-CN/SP · Consolidate, mine and analyze data from existing/future CN Department data to determine customer feedback that can improve formal and ad-hoc production. · Send periodic surveys to CN Department customers to collect feedback on existing products to determine and track utility and accuracy of information. · Work independently and with CN Department Leadership to understand database structure and data science processes, collaborating with end users to understand and troubleshoot platform issues and develop appropriate solutions when required. · Analyze, define requirements, develop and create documentation for reporting to DASD-CN and, if determined by the TPOC, to Kennedy Command Staff · Establish standards and best practices for requesting, prioritizing and developing reporting processes, and champion reporting quality, consistency, usability and reliability by documenting and applying best practices to design and development. · Communicate project status and provide CN Department leadership updates and recommendations, and any additional requirements as determined by the TPOC. Requirements Required: · Possess three (3) years all-source analytical experience that addresses experience writing or supporting analytical products; OR a bachelor’s degree in a related technical field (i.e. International Relations, Intelligence Analysis) and 1 and a half years of all-source analytical experience. · Have a minimum 6 months to 1 year of or experience in data science, data management or data analytics. · Understand and have a working knowledge of the Intelligence Community Analytic Standards as set by the Office of the Director of National Intelligence within the Intelligence Community Directive 203. The Contractor must demonstrate proficiency in Intelligence Production Tradecraft, which includes the following qualities: · Classification of documents · Intelligence Sourcing Methodology · Using the Telegraphed Inverted Pyramid Model (TIPM); and · Have a minimum four (4) years of experience working with Microsoft Office Software. · Have a minimum two (2) years of experience demonstrating effective communication both orally and in writing.   Preferred Qualifications that will make you stand out:   · Have knowledge of maritime security and capabilities · Have a minimum two (2) years of experience working knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage etc.) · Have a minimum two (2) years of experience utilizing a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)The Contractor may be required to travel locally and accomplish tasks from alternate work locations within 30 miles of the Washington DC Metro Area in performance of this contract. The National Target Center, 22330 Glenn Drive, Sterling VA, 20164 has been identified as an alternate designated place of performance

We are a global leader in quantitative statistical arbitrage, specializing in developing cutting-edge machine learning models and data-driven strategies to identify and exploit market inefficiencies. We leverage a wide array of data sources, including technical, fundamental, and alternative data sets, to inform our models and trading algorithms.  We are assembling a cutting-edge Data Exploration Team to be at the forefront of uncovering groundbreaking datasets, discovering innovative data providers, and staying ahead of the curve with the latest data advancements. As part of our Data Exploration Team, you will help drive the evolution of our data-driven strategies, empowering the firm’s research, trading, and risk management teams to thrive in an increasingly competitive landscape. Your passion and expertise in emerging datasets, data architecture, management, and analytics will be instrumental in shaping the future of our firm’s data-driven decision-making. Working closely with the Director of Data Research, data scientists, quantitative researchers, and engineering teams, you will ensure that our data procurement not only supports but propels the firm's strategic goals. As a member of this forward-thinking team, you will actively seek out and acquire novel datasets, engage with data providers, assess and prioritize data integration, and ensure that our data library is as rich and diverse as the opportunities it uncovers.  Responsibilities Proactively scout and identify emerging datasets, alternative data sources, and innovative data providers across various industries to fuel the firm's quantitative strategies. Engage with a wide range of data providers, from traditional market data vendors to niche and non-traditional data sources (e.g., satellite imagery, web scraping, sentiment analysis), evaluating their potential to enhance the firm’s research and trading strategies. Collaborate closely with data scientists to communicate the value and limitations of sourced data, ensuring it could provide a competitive edge in the market and aligns with model needs and strategic goals. Lead the negotiation and acquisition process for new data sources, ensuring favorable terms, including pricing, licensing, and delivery mechanisms. Maintain relationships with key data vendors and providers, fostering partnerships that ensure ongoing access to high-quality and cost-effective data sources. Coordinate the initial integration of new data sources into the firm’s research infrastructure, working with data engineers and scientists to ensure smooth onboarding and data readiness for deeper analysis. Continuously monitor the data landscape for emerging trends, new data sources, and technological advancements that could impact the firm’s competitive positioning. Participate in industry conferences, webinars, and other events to stay informed about the latest developments in data acquisition and alternative data trends. Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Quantitative Finance, Mathematics, or related field (PhD is a plus). 3+ years of experience in data strategy, engineering, or science, preferably within quantitative finance. Proven expertise in the utility and management of large datasets (technical, fundamental, and alternative data) and processing requirements for integrating them into machine learning and statistical models. Proficiency in machine learning, statistical analysis, Python, R, SQL, and other data manipulation tools. Experience with alternative data sources (e.g., sentiment analysis, satellite imagery, geospatial data) and data visualization tools (e.g., Tableau, Power BI). Familiarity with financial market data feeds, real-time data processing, and data architecture. Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits – making your commute smoother. Trexquant is an Equal Opportunity Employer

Primary Duties and Responsibilities:   To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Develop Metadata and Data Lineage Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka, ETL/BI Tools etc. Create, develop, configure and execute end to end business and technical data lineage across disparate sources in accordance with the Data Governance Standards, Policies and Procedures. Experience working on metadata management, administration, support and ingest data management assets using extension mappings, custom data assets, metadata bridges, connectors, third party metadata bridges ensuring data lineage/ source to target data mapping. Design, Build and Execute Data Quality Rules over the critical data elements (CDEs) identified according to the business needs to ensure clean and healthy data. Ability to develop and implement Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka etc. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Hands on experience working on data quality and data governance technology and tools. Perform requirements gathering, Data Analysis, Data Profiling to enable all the essential functions of the Data Governance. Design and implement Data Quality Dashboards for monitoring and reporting. Experience creating, developing and managing DG workflows using BPM processes. Perform other duties as assigned. Qualifications: The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. Bachelor or Master degree in data analytics, computer science or related field. 4+ years of experience in data governance disciplines: data profiling, data quality measurement, exception management, remediation, metadata management and business intelligence Ability to work independently and as part of a team to successfully execute projects. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience with Data Governance tools such as IBM InfoSphere Information Server Suite, Collibra or Informatica Experience with Business Intelligence/ Reporting tools such as Tableau / Cognos. Proficient with SQL. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (i.e. Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities. Previous experience in designing and building data capabilities like data quality, metadata, data catalogues and data dictionary. Demonstrated strong communication and presentation skills. Capital market or banking domain experience is preferred. Prior development / coding experience is preferred. Experience working on APIs, Kafka as Data Sources is preferred.   Technical Skills: Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc   Education and/or Experience:  Bachelor or Master degree in data analytics, computer science or related field. Requirements Technical Skills: Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc

We are IntelliShift, a rapidly growing B2B SaaS company with more than 20 years of expertise in fleet management technology. IntelliShift is the fleet intelligence platform for safety and operations teams, and we empower construction, utilities, field services, and last mile delivery businesses to make the intelligent shift from siloed data using point solutions, to one simple, powerful platform. We provide these customers with a level of insight they’ve never had before to improve safety, establish next generation operational efficiency, and make intelligent decisions. We are looking for an experienced Data Warehouse Architect/Engineer to join our software development team. We are focused on enabling our customers to make data-driven decisions that deliver value to their shareholders and looking for someone with proven proficiency in architecting, designing and development experience with batch and real time streaming infrastructure and workloads. What you will do: · Help design, build, and maintain a multi-terabyte data warehouse in support of Data and Analytics and Data Product use cases · Implementing scalable, high-performance data pipelines for data ingestion, storage. processing and transformation to support analytics and ML pipelines. · Develop standards for database design and implementation of various strategic data architecture initiatives around data quality, data management policies/standards, data governance, privacy and metadata management. · Design, development, monitoring, and management of ELT/ETL pipelines and procedures. · Design and development of reports, stored procedures and functions. · Stay on top of new technology developments in data warehousing, big data processing, and other relevant fields. · Participate in project planning, estimation and status activities · Research and resolve support tickets and escalations. Requirements What you bring: · Bachelor’s degree in computer science or related field. · Experience and working knowledge of streaming platforms, typically based around Kafka. · Strong grasp of Azure & AWS data platform services and their strengths/weaknesses. · 3+ years' experience of Snowflake Data Warehouse or similar technology. · 5+ years and Intermediate to Advanced knowledge of SQL. · 5+ years and Intermediate to Advanced stored procedure/function development. · 5+ years and Intermediate to advanced stored procedure/function development. · Solid understanding of data warehousing concepts and architecture. · Experience developing data warehouse reports and analytic queries. · 2+ years’ experience in SSRS or similar reporting tool. · Ability to research data issues and resolve them in a timely manner. Preferable skills: · Data replication concepts. · Experience developing ETL/ETL using stored procedures. · Experience with JavaScript development. · Machine Learning experience. The values you’ll live by as part of the team: · Customer-Obsessed- Our customers are at the center of everything we do. When they win, we win. We’re more than just a vendor; we’re committed partners. · No-Box Innovation- Forget thinking outside the box—what box? We embrace bold ideas and build what hasn’t been built before to drive our customers and ourselves forward. · Growth Through Friction- Not all friction is bad. We challenge inefficiencies, drive innovation, push for a stronger business, and break through limits. · Trust Through Action- Promises don’t build trust—actions do. We lead with transparency, act with integrity, and stay committed to always doing right by those we work with · Own It- Every action matters, so make it count. We are accountable for our work, own our outcomes, and always strive to make a positive difference. Benefits We offer competitive compensation, commensurate with experience $150,000 - $170,000. We also offer outstanding benefits to simplify the lives of our employees and show them how much we appreciate their contributions. IntelliShift provides company-subsidized medical insurance for all employees (and largely subsidized coverage for families), dental, vision, and 401K with a 4% company contribution.

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative, inclusive environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we’re not just building state-of-the-art infrastructure—we’re creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Manager - Data Center Operations Role: The Manager - Data Center Operations must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, fire life safety systems, and communications infrastructure.  Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Communications Infrastructure responsibilities will include IFD / MDF / MMR management, structured cabling and supporting infrastructure ownership, and customer space management. The Manager - Data Center Operations is responsible for vendor management inclusive of daily work as well as service contracts.  Project management experience is required as the manager will be responsible for managing all aspect of projects from conception to completion.  The employee will also be accountable for commissioning activities within the data center.  The position requires expert ability in MOP writing. This position will also be directly responsible operational efficiency and energy management within the data center.  The manager will be expected to develop and implement operational strategies aimed at improving data center efficiencies without increasing uptime risk to the customer.  A Data Center Manager is also responsible for ensuring the facility adheres to all compliance and audit requirements as well as company and industry standards. The Manager - Data Center Operations will be a training instructor and assist the Data Center Senior Manager in ensuring all technicians are qualified within the data center.  The Data Center Manager will ensure technicians are aware of all code and standards revisions. The Manager - Data Center Operations will assist the Data Center Senior Manager and Market director in developing financial OPEX and CAPEX budgets and forecasts.  The manager will model proposed project ROI. Responsibility for procurement fulfillment including developing scopes, obtaining proposals, creating purchasing requisitions and ensuring invoices are paid rests with the technician.  The Manager - Data Center Operations is a people manager who will serve the role of shift manager.  The individual must possess strong management and interpersonal skills.  The Manager - Data Center Operations is responsible for evaluations and coaching of his or her direct reports. The manager is to work closely with the Senior Manager - Data Center Operations to ensure all staff is trained and qualified.  Regular team and individual meetings are required. Duties: Data center subject matter expert for electrical, mechanical, and fire life safety systems. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Building Monitoring, and Control. Tracking and trending site efficiencies and energy consumption. Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction.  Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT People manager responsible for assigning shifts, works, approving time off, etc. Training and mentoring of junior staff. Work with technicians and vendors to ensure preventive and predicative maintenance schedules are met and maintenance is completed on time. Work with, and provides guidance, to the site Data Center Operations Manager to determine maintenance requirements for mechanical and electrical systems. Manage vendor relationships and service contracts. Manage vendor procurement and billing process. Site budgeting and forecasting both CapEx and OpEx. Create highly detailed technical procedures for maintenance events, emergency situations, standard site evolutions, etc. Expert technical review of procedures  Expert technical review of company standards and policies Manage site audits both internal and external Adherence to compliance standards Manage systems to avoid unplanned, customer-impacting outages Manage the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency Provide applied mechanical and integrated control expertise for the entire data center Navigate and utilize a CMMS system. Ensures that processes are completed in a timely manner pertaining to Service Level Agreements (SLA) and data is uploaded to the OSS accordingly. Provide day-to-day exceptional customer service and support. On-call availability may be required to respond to emergency situations at the data center Adhere to and promote CoreSite’s Principles of Operational Excellence Promote and demonstrate the behaviors consistent with CoreSite’s culture and 8 Guiding Principles Special projects as assigned Requirements Knowledge, Skills & Abilities: Interaction with Others- This position is required to interact with Coresite personnel, vendors, partners, contractors and clients. Work Attributes- Knowledge Expert understanding of the electrical and mechanical systems used in a data center environment, including, but not limited to the following:  electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems Expert knowledge of NEC, NFPA 70E, NFPA 72, NFPA 25, and compliance issues as well as building codes in regard to fire life safety Expert knowledge of fiber optics / cabling infrastructure and industry best practices. Expert knowledge in industrial safety best practices (i.e. lockout/tag out, arc flash protection, OSHA and state regulations) Expert knowledge and experienced with data trending / tracking and analysis and ability to rapidly learn and use PC based, integrated critical monitoring systems Expert knowledge of energy efficiency best practices. Proficient in Electrical, Mechanical, Protection, and controls systems commissioning. Skills Minimum of 5-7 years of experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including: Chilled Water Systems, Large Centrifugal Chillers, Cooling Towers, Heat Exchangers, Water Treatment Systems, VFD’s and Pumps, HVAC equipment, CRAC/CRAH’s, Humidification Systems, BMS and PLC Controls, Emergency Standby Diesel Generator Systems, Fuel/Oil systems, 480/277 and 208/120 electrical generation and distribution, Static UPS Systems, Double Interlock Pre-Action Systems Experienced people manager. Proven leadership skills. Experienced vendor management skills including service contract management. Experienced project management skills, including budgeting, time tracking, schedule creation, scope development, contract management Proven skills in facility budgeting and forecasting. Excellent communication skills, both written and oral Suite (Word, Excel, PowerPoint, Project) Abilities Ability to communicate effectively with customers and internal staff. Ability to coordinate, supervise and communicate with contractors who perform maintenance or upgrade work on these systems. Ability to learn quickly and address issues as they arise during normal working hours or after hours. Ability to operate in and promote a rigorous process-driven team environment Ability to logically analyze and solve problems Ability to effectively multi-task multiple projects Operate Hand and Machine Tools (hammer, drill, saw, etc.) Operate electrical tools such as a multi-meter or infrared camera Education/Experience: Bachelor’s degree in Mechanical or Electrical Engineering or equivalent time in rate. 7 or more years in a mechanical/electrical position within critical facilities (preference given to a data center, hospital, or power plant experience) 3-5 years’ experience in administering and managing facility preventative maintenance programs and budgets. 3-5 years’ experience in vendor and project management 3-5 years’ experience in technical procedure and policy writing. 3-5 years’ experience in people management Be able to pass an extensive background check, including criminal history, personal references, employment and education verifications, and Department of Motor Vehicle and credit check. Physical Demands and special requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to stand 1/3 – 2/3 of the time Ability to walk 1/3 – 2/3 of the time Ability to sit 1/3 – 2/3 of the time Ability to climb and balance 1/3 – 2/3 of the time Ability to stoop, kneel, crouch and crawl 1/3 – 2/3 of the time Ability to reach with hands & arms 1/3 – 2/3 of the time Ability to smell, talk & hear Ability to use hands to type, handle & feel Ability to reach with hands and arms Ability to see at close and distance ranges and the ability to see color Must be comfortable working in a high stress, fast paced environment with shifting priorities Must be willing to work outside normal business hours, including weekends, late nights, holidays, and on-call support Ability to lift up to 50 pounds 1/3 of the time Compensation: Compensation for this role includes a base salary between  $115,000 and $130,000 annually.  This role is also eligible for an annual bonus and equity, based upon individual and company performance. Benefits Not only does CoreSite have a fun, team-focused work environment, but we also offer great benefits to all employees regularly scheduled to work more than 20 hours a week! First-day medical insurance through Cigna with generous premium cost coverage Dental insurance through Delta Dental Vision insurance through VSP Telemedicine through MDLive for Cigna Healthcare and dependent care flexible spending account (FSA) plans Health saving account (HSA) plans for employees participating in the High Deductible Health Plan Life, AD&D, short-term disability, and long-term disability insurance fully paid by the company Voluntary coverage benefits for supplemental life, critical illness, accident, and hospital insurance First-day eligibility for 401(k) savings plan through Fidelity, which includes an attractive matching company contribution with a 5% company match Discretionary annual bonus and equity incentive plan Employee stock purchase plan (ESPP) with a 15% discount 16 days of paid time off (PTO)11 paid company holidays and additional floating holidays Additional paid time off for school events, elder care, volunteering, bereavement, jury duty, voting, parental leave and disability leave Free parking or a company contribution toward a public transit pass   Additional Perks Wellness Reimbursement Program:  Yearly stipend of $500 for employees and $300 for dependents, up to $800 total for the family Wellness Incentive Program:  Participate in various wellbeing activities to earn up to $450 per year in cash incentives Technology Stipend:  $100 monthly stipend Educational Reimbursement Program:  Work-related learning and development with reimbursement on qualifying degree programs, up to $5,250 per year Giving Back:  Charitable donation matches up to $5,000 per year and nominate organizations for Company Foundation grants Financial Management:  Access to financial coaching, digital tools and services to manage and pay student loan debt quicker Pet Insurance:  Keep your furry friends healthy and happy Family Planning:  Benefits and services related to fertility, pregnancy, menopause, adoption and surrogacy Employee Assistance Program:  24x7 service to support family, work, money, health, legal and life challenges Counseling and Caregiving Programs:  Including access to mental health services, licensed counselors, and caregiving tools including membership for finding care. Referral Bonus:  Receive a $3,000 cash bonus if referred candidate is hired and meets eligibility requirements Discounts : Discounts, cash back offers and perks on thousands of brands LinkedIn Learning Membership:  Support your development when accessing LinkedIn’s online library of courses and videos General Statements - Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visas. Please note that all offers of employment are contingent upon the successful completion of a background check and, where permitted by law, a 5-panel drug test conducted after the offer letter is signed, which will screen for THC, opiates, PCP, cocaine, and amphetamines. Thank you for your understanding and cooperation. Applicant Privacy Notice : CoreSite is committed to protecting the privacy and security of personal information submitted by applicants. The California Consumer Privacy Act (CCPA) requires us to provide you information about our personal information handling practices. As a result, we’re providing this Privacy Notice that describes how we collect, use, share, and update personal information from individuals who wish to be considered for employment with CoreSite. To read the Applicant Privacy Notice, please go to  https://www.coresite.com/applicant-privacy-notice . Unauthorized reproduction or distribution of this job posting on external sites is prohibited without prior written consent from CoreSite. We are not responsible for any postings or offers not originating from our official channels or approved partners.

Worth AI, a leader in the computer software industry, is looking for a talented and experienced VP of Data, Analytics and AI to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. Worth AI is seeking a strategic and hands on and execution-oriented Vice President of Data to lead our data function as we scale. This role is central to shaping how data is acquired, structured, commercialized, and governed across the company. The ideal candidate brings deep experience in data strategy, monetization opportunities, and operational excellence—transforming data into a key business asset that drives commercial value, innovation, and competitive advantage. Our Vice President of Data will have distinct expertise in credit modeling and experience collaborating with third-party data providers. This role requires a dynamic leader to drive our data strategy, combining innovative risk solutions with top-tier data science, machine learning, and AI methodologies. Responsibilities Hands-On Leadership & Team Management Lead a growing team of approximately five data professionals across engineering, analytics, data science, and governance. Be a hands-on leader who actively engages in code reviews, model reviews, and technical deep dives to stay connected to the day-to-day realities of engineering and data science work. Set a high technical bar while mentoring and developing team members, fostering a culture of innovation, ownership, and collaboration. Data Acquisition & Partnerships Lead the end-to-end strategy for acquiring first-party, second-party, and third-party data sources aligned to business priorities. Evaluate and negotiate data licensing agreements and strategic partnerships to grow our data asset portfolio. Design robust, scalable, and compliant ingestion pipelines for efficient data integration and enrichment. Risk, Fraud, and Credit Model Development  Utilize data science, machine learning, and AI techniques to design, test, and deploy advanced risk, fraud, and credit scoring models. Commercial Applications of Data Identify, define, and execute on opportunities to monetize data assets—both directly and through data-enabled products and services. Partner closely with Product, Sales, Marketing, Strategy, and Customer Success to integrate data insights into go-to-market initiatives and client-facing solutions. Translate data into actionable business intelligence that informs strategy and drives measurable business growth. Scalability & Operational Excellence Build scalable, repeatable processes for data management—spanning integration, transformation, quality assurance, and delivery. Champion the adoption of modern data platforms and tools (e.g., Snowflake, Databricks, dbt) to support real-time decision-making and automation. Develop and lead a high-performing data team across engineering, analytics, data science, and governance, fostering a culture of innovation, collaboration, and accountability. Data Governance & Compliance Own and evolve data governance frameworks to ensure integrity, quality, security, and compliance with global regulations (e.g., GDPR, CCPA). Establish clear data ownership and stewardship models, along with standardized policies for access, lineage, and privacy. Proactively manage data risk and embed ethical practices into all aspects of data use and monetization. Cross-Functional Collaboration Partner with engineering, product, finance, and other internal teams to ensure alignment on data initiatives. Serve as the internal advocate for data as a strategic asset, ensuring organizational alignment around data value and strategy. Requirements Bachelor’s or Master’s  in Data Science, Computer Science, Statistics, or a related discipline 10+ years in data leadership roles, including at least 5 years leading large-scale data initiatives in fast-paced, data-driven environments. Experience with risk technology or credit modeling in enterprise contexts is a strong plus. Proven expertise in monetizing data assets and building governance structures at scale. Strong understanding of data platforms (e.g., Snowflake, Databricks), cloud architecture, data pipelines, and modern analytics tooling. Demonstrated ability to lead multidisciplinary teams, craft vision and strategy, and drive tactical execution. Outstanding communication and stakeholder management skills, with the ability to convey complex data concepts to technical and non-technical audiences. Deep experience in data science, machine learning, AI, and credit or risk modeling. Strong problem-solving and data interpretation skills with a focus on delivering results. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

Founded in 2001, WaveStrong is an industry leader in enterprise and cloud information security consulting services. We pride ourselves on our best of breed security solutions and services that span a myriad of government, education and business verticals. Our staff is comprised of both certified technical and business professionals who can help you successfully navigate complexities of planning, design, implementation and management of securing data. Our approach is vendor agnostic giving our customers the freedom to choose the best customized security model for their business. Requirements We are looking for a Remote Imperva Data Security SME experienced with Imperva solutions to protect sensitive data across platforms. Key responsibilities include configuring and monitoring Imperva Data Security Fabric, managing data security controls, and collaborating to address vulnerabilities. Qualifications: Experience with Imperva Data Security Fabric (DSF), WAF and/or DAM Knowledge of data protection regulations (e.g., GDPR, CCPA) Proficiency in database security practices and security incident response. Strong problem-solving and communication skills Travel up to 50%

Title: Sr. Data Analytics (Website Analytics) Duration: 6+ Months Location: El Segundo, CA Must Have: experience with campaign targeting, segmentation, test design/learning plans, reporting and optimization of: Website/mobile (Adobe/Google Analytics) DMP/Digital media (nice to have) Account data (first and 3rd party), including demographics Transactional data (product registrations, eComm, offer redemption) Engagement data (email opens/clicks, push notifications taps, web visits and clickstream) Data science language skills (Retention/Data Lead only) Python Modelling/ML Other packages / platforms / skills Data mining/profiling Data visualization: advanced Excel, Tableau, Power BI Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our client’s business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen SapientRazorfish’s leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements •Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

Bachelor’s degree in Computer Science, Management Information Systems (MIS), or a related field; or equivalent work experience. 6-10 years of experience supporting data governance and/or data quality initiatives with measurable results. Proven ability to assist in implementing and maintaining data governance programs across a complex infrastructure. Experience advocating for data governance practices at various organizational levels and integrating them into company culture. Strong presentation and communication skills, with experience creating executive-level reports and materials. Excellent organizational skills with the ability to manage multiple priorities and meet deadlines effectively. Self-motivated, with the ability to work independently while collaborating across teams to deliver high-quality solutions. Strong follow-up skills to ensure timely execution of tasks and adherence to timelines. Demonstrated ability to build and maintain relationships with data owners, stewards, and other stakeholders. Experience in cross-functional collaboration to achieve program objectives. Exceptional written and oral communication skills, with the ability to clearly articulate complex ideas. Familiarity with educating and influencing stakeholders regarding program goals, objectives, and best practices. Skills in data analysis, critical thinking, and problem-solving to inform data governance solutions. Strong business acumen and an understanding of the financial services industry or a related field. Openness to continuous learning and development to remain competitive in the evolving data governance landscape. Requirements Support the implementation and maintenance of data governance program to ensure effective control mechanisms are in place to mitigate risks. Collaborate with teams to manage the data lifecycle and ensure data assets are effectively leveraged to create business value. Assist in ensuring adherence to the Enterprise Data Governance Framework and Content/Data Governance policy. Help develop and implement data governance frameworks, control policies, and processes that promote understanding and accountability for proper data usage. Support enterprise data quality initiatives, including defining strategies, documenting processes, and ensuring the integrity of critical data. Collaborate with data stewards across the organization, providing training, tools, and support to enable effective data management practices. Work closely with IT, Information Security, and other operational teams to ensure alignment with data governance objectives. Monitor and address data quality issues, participating in remediation and certification of critical data elements. Contribute to defining and tracking metrics and KPIs to measure data governance performance and adherence, leveraging corporate dashboards and analytics tools. Promote a data governance culture by actively engaging with employees across the organization to emphasize the importance of clean, governed data as a shared responsibility. Assist in creating and maintaining policies and procedures that enforce reliable, repeatable processes, driving improved data quality and compliance.

SciTec has been awarded multiple government contracts and is growing our creative Team! SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense. We support customers throughout the Department of Defense and U.S. Government in building innovative new tools to deliver unique world-class data exploitation capabilities. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. We are seeking a motivated Associate Data Engineer ready to launch their career into one of tech's most strategically valuable and rapidly growing specializations. This exceptional entry-level opportunity offers an accelerated learning path into data engineering for mission-critical systems. You will assist in designing, building, and maintaining data pipelines and databases that support machine learning applications in both classified and unclassified environments, building technical skills that typically take years to develop elsewhere. Working alongside seasoned engineers, you will contribute to real-world projects that directly impact national security while gaining practical experience with data processing technologies, ETL pipelines, and infrastructure automation in a supportive environment designed to rapidly advance your technical capabilities. Responsibilities Assist in building and maintaining ETL pipelines for processing streaming data Help implement data storage solutions using open-source technologies Contribute to the design and implementation of monitoring and alerting mechanisms for data pipelines Learn and implement infrastructure automation using tools like Terraform and Ansible Implement data governance and security protocols Collaborate with cross-functional teams across sites Participate in team meetings and knowledge-sharing sessions Other duties as assigned Requirements Active DoD SECRET security clearance Bachelor's degree in Computer Science, Data Engineering, or a related field Knowledge of Python Familiarity with SQL and basic database concepts Ability to rapidly acquire new skills Problem-solving mindset and enthusiasm for learning Detail oriented Good verbal and written communication skills Candidates with the following qualifications will be preferred: Relevant coursework in data science, databases, or distributed systems Basic understanding of ETL concepts Familiarly with Linux/Unix environments Interest in cloud technologies or infrastructure-as-code Exposure to containerization concepts *Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Benefits SciTec offers a highly competitive salary and benefits package, including: Employee Stock Ownership Plan (ESOP) 3% Fully Vested Company 401K Contribution (no employee contribution required) 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $80,000- $94,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. Vet/Disabled.

A senior technical expert responsible for designing, building, and optimizing data solutions using Databricks and Azure Data technologies. This principal engineer oversees the architecture, integration, design, development and deployment of reusable patterns and solutions ensuring that they are scalable, secure and efficient. Also, responsible for managing the platform effectively with automation and leverage emerging capabilities in the marketplace. It requires proven experience of working with developers, analysts, and data scientists to implement data pipelines, real-time analytics machine learning models. This engineer ensures modern best practices are developed and adhered to in a cloud data ecosystem for data governance, data architecture and DataOps, while providing guidance on performance tuning, cost optimization and system reliability. Onboarding Process: • Selected Candidate must be willing to go to the closest Capgemini/Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment. • If the candidate is not local, Capgemini will pay the expenses.

Class Valuation is seeking skilled Property Data Collectors to join our Digital Panel (1099) in Rockingham County, NC and 27288, including the cities of: Eden, Reidsville, and Wentworth. Compensation of $105 per assignment. Please note there is a $5 tech fee per order. Additional fees may be approved for complexities on a case by case basis. As a rapidly expanding Appraisal Management Company (AMC), we require dynamic individuals to assist our team in managing a variety of complex valuation assignments on a daily basis. Your attention to detail, passionate approach to customer service and innovation will be pivotal in helping us achieve our goals as we continue to provide high-quality results and exceptional service to our clients. As a Property Data Collector, you will utilize our state-of-the-art equipment and user-friendly iOS app to capture property data and create captivating 360 property tours. Class Valuation is committed to modernization within the appraisal industry, making this a unique opportunity for the right candidate to be part of the exciting changes happening in this field. To learn more about this role, visit: https://youtu.be/dT5WTetEjiU Responsibilities Perform detailed data collections and inspections of subject properties Ensure compliance with industry education and training guidelines Communicate with points of contact; including Class Valuation, realtors, brokers, borrowers and lenders Troubleshoot issues as they arise Assist in achieving high production turn times and quality Consistently drive continual improvement Create raving fans throughout the modernization approach Requirements 6+ months of related experience in the real estate, data collection or photography industry or 12+ months of demonstrated exceptional customer service Willingness to perform work as an Independent Contractor Ability to travel and work in client homes, with compensation Passionate about providing exceptional customer service and results Ability and willingness to pass an independently paid background check iOS mobile application compatible device Detailed understanding of property data collections, appraisals, BPOs, property completion reports, and other industry related items Excellent analytical, organizational, and problem-solving skills Professional appearance and adherence to dress codes while on site Excellent verbal and written communication skills Ability to prioritize and manage multiple tasks simultaneously EIN required for state of California only Benefits Comprehensive virtual training provided in a modular format, with review from a live trainer Continued education and feedback to continuously improve and earn more business Work as an independent contractor (1099) Additional work and panel opportunities within Class Valuation Work both on the road and in the comfort of borrowers' homes

Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. Requirements Curious about the role? What your typical day would look like? As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling. You will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. ● Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets) ● Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization ● Schedule, orchestrate, and validate pipelines ● Design exception handling and log monitoring for debugging ● Ideate with your peers to make tech stack and tools-related decisions ● Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life. What do we expect? ● Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database ● A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview ● A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java). ● Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables. ● Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search ● Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV ● Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects. ● Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner ● Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable addition. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Job Requirement Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview. Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java. Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search. Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV. Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps. Good to have: Experience of working on Data Lake & Lakehouse projects Experience of building REST services and implementing service-oriented architectures. Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner. Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Data Scientist McLean, VA Description: Full Stack Developer to support and All Source Data Modeling and Analysis team. The team performs Data Engineering, Science, Modeling, and Analysis to develop All Source Analysis Reports / Products. Required Skills: 1. JavaScript 2. Angular 3. AWS platform and development tools 4. Containerization (preferably Docker and/or Kubernetes) 5. ElasticSearch 6. Developing and integrating APIs Desired Skills: 1. AI/ML 2. AI modeling with LLMs 3. Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field. Benefits Vacation – 5 weeks of accrued paid vacation per year (i.e., 8.33 hours accrued per pay period worked) • Holidays - Paid holidays published annually by the Office of Personnel Management, excluding Inauguration Day • 100% paid for Health Benefits* (United Healthcare, Guardian Dental, VSP Vision, MetLife, Life and Disability Insurance and annual $1500 employer HSA contribution on qualified plans) *health benefits kick in the 1st of the month following your start date • 6% 401k Contribution (3% paid out during each pay period, the additional 3% will be paid out as a lump sum in Q1 each year) • Training Reimbursement – Approved training and education expenses will be reimbursed

 Title:  Director of Data Analytics and Insights  Department:  Data Reports to:  Chief Program Officer   FLSA Status: Exempt     Summary of Position:   The Director of Data Analytics and Insights serves as a vital member of the Shelter House Leadership Team, overseeing all aspects of programmatic data management and analysis. This role is responsible for ensuring high-quality data collection, program evaluation, impact analysis, and the effective communication of insights derived from both quantitative and qualitative data. These efforts directly support the success and improvement of Shelter House’s programs and services.   Leading the Data Program Team, including 2.5 Data Quality Specialists, the Director ensures compliance with HMIS Data Standards, Continuum of Care (CoC) data initiatives in Fairfax and Loudoun Counties, and data-related requirements under the Violence Against Women Act. The team is expected to stay current on best practices and evolving standards that impact data collection and reporting.  Using demographic, qualitative, and program data, the Director produces high-level reports and insights to inform organizational leadership, funders, and community partners. These insights help advance racial equity, support trend analysis, guide program development, and enhance grant reporting and strategic planning.  This position is essential to the agency’s commitment to maintaining a data literate, data forward culture.    Essential Duties and Responsibilities:    Collaborate with program staff to develop and utilize databases and tracking systems, aggregating and analyzing data to create visualizations that inform program performance, participant impact, and strategic decisions.  Lead Shelter House’s Data Program to enhance data insight and promote data-driven decision-making.  Cultivate data literacy across the organization to empower staff to engage with qualitative and quantitative data, fostering curiosity, insight, and program advancement.  Partner with the Chief Program Officer and senior leadership to develop and implement strategies for sharing data analysis and insights that support program evaluation and improvement.  Oversee 2.5 Data Quality Specialists responsible for accurate data collection, training, technical support, regular data cleaning, report submission, and outcome analysis.  Prepare and facilitate quarterly data outcome and evaluation meetings to share insights and support program enhancement.   Design, implement, and manage a centralized agency dashboard displaying real-time key performance indicators (KPIs) and operational metrics.  Identify appropriate research methods—such as surveys, interviews, and focus groups—to perform exploratory and impact analyses focused on program quality, processes, outcomes, and costs, and communicate results.  Ensure data confidentiality and security protocols are integrated into data management, storage, and evaluation activities.  Compile and submit monthly, quarterly, and annual reports in compliance with grant requirements, ensuring accuracy and timely delivery.  Prepare progress reports, presentations, and communications for internal and external audiences.  Collaborate with programs on quality assurance to identify needed improvements and upgrade data entry and collection processes.  Develop, maintain, and update data tracking tools and ensure staff are trained to use them effectively.  Ensure Data Quality Specialists conduct regular HMIS/VAdata training, provide technical support, and report on frequent data errors or missing information.  Serve as liaison between CoC and VAData HMIS staff and Shelter House programs to communicate federal data standard changes, policies, and best practices.  Maintain up-to-date knowledge of HMIS data standards and funder-driven data points, providing technical training and support for new initiatives or changes.  Actively serve as a Fairfax County HMIS Super User, participating in meetings, training, and committees, and engage with Loudoun County HMIS staff to ensure system functionality.  Provide regular reports and insights on program outcomes and client demographics to promote racial equity, trend analysis, program development, and inform grant and impact reports.  Deliver high-level data, reports, and evaluation findings to internal and external stakeholders and support development of publications and presentations on program impact.  Proficiently use Microsoft applications (Outlook, Excel, OneDrive, etc.) for daily work.  Participate in and present at staff meetings and trainings as directed by the Chief Program Officer  Perform other Duties as assigned.    Qualifications:   Required:   A bachelor's degree in human services/related field or commensurate experience  Proficient in Excel  3+ years of Data analysis experience   Familiarity and proficiency with social service and/or health data systems, particularly those with federal requirements.  Strong public speaking, written, and oral communication skills  Ability to prioritize competing priorities and make sound judgements  Ability to complete tasks while navigating frequent interruptions  Detail oriented, strong analytical and time management skills  Valid Driver’s License and reliable transportation   Willingness to work evenings and weekends when needed    Preferred:   A master's degree in human services / related field  Skill with relational database systems, reporting tools (SQL, Tableau and/or PowerBI) and statistical software; and the ability to write queries and stored procedures. Experience utilizing HMIS (Homeless Services Management System) and familiarity with HMIS data standards and performance measures.  Familiarity of Google Suites, particularly Google Sheets, as well as Excel and to develop expertise.  Experience in programs serving individuals experiencing homelessness    Experience in developing and facilitating trainings     Physical Requirements:   Annual TB Test is required   Ability to sit or stand for long periods  Ability to lift items weighing 10-20 pounds  Benefits Benefits Medical, Dental & Vision Insurance 401K contributions with a 4% employer match 13 Paid Holidays, 2 Floating Holidays and the opportunity to take your Birthday Off Two Semi-Annual Team Building Events Equal Employment Opportunity:  Equal Employment Opportunity Policy: Shelter House is committed to providing equal employment opportunity to all employees and applicants. All employment-related decisions will be made and carried out without regard to race, color, religion, national origin, ancestry, citizenship, age (over 40), sex, marital status, pregnancy, sexual orientation, gender identity, veteran status, disability unrelated to the individual's ability to perform his or her job or any other legally protected status. Shelter House will also provide reasonable accommodations to pregnant and qualified employees with disabilities to enable them to perform the essential functions of their job, and to employees with respect to their observance of their religious beliefs, in accordance with applicable law. Any job applicant or employee who would like or needs an accommodation may request an accommodation by contacting the Human Resources department.  Drug and Alcohol-Free Workplace Policy:   Drug-Free Workplace: Shelter House is committed to maintaining a drug-free workplace. Employment is contingent upon compliance with our Drug-Free Workplace Policy, which prohibits the unlawful manufacture, sale, distribution, dispensation, possession, or use of controlled substances or marijuana in the workplace. Additionally, all subcontracts and purchase orders over $10,000 must include provisions ensuring a drug-free workplace. 

Team Introduction The Data Platform team works on building data infrastructures and data products to support business engineering teams. As a Software Development Engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. Responsibilities - What You'll Do • Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis) • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business • Establish solid design and best engineering practice for engineers as well as non-technical people. Requirements • BS/MS from a quantitative field of study (CS, STEM, etc) • Experience in API, backend, and data services development • Experience in Big Data stack(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.) • Experience with ETL (Extraction, Transformation & Loading) or ELT, and architecting data systems • Ability to ship code in Java, Python and SQL • Solid communication and collaboration skills