Top Data & Analytics Jobs

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Lead enterprise data governance by defining metadata, CDEs, data quality rules, and catalog/lineage. Partner with stewards, owners, IT and business stakeholders to monitor data quality, automate governance workflows, certify reports, and implement governance tooling (e.g., Collibra). Ensure PII handling, document processes, train users, and drive continuous improvement.

Lead Data QA for the Enterprise Data Warehouse: define QA strategy, design and execute source-to-target validations, CDC and ETL checks, data masking verification, build quality dashboards and automations, mentor QA analysts, manage defects and release readiness, and collaborate with Data Engineering, BI, Product, and stakeholders to ensure data is accurate, complete, and audit-ready.

Manage bibliographic and holdings data lifecycle: ingest, normalize, enrich, match, and troubleshoot data quality issues. Support automated pipelines, use Power BI for monitoring, apply AI-assisted tools for record matching, document workflows, and coordinate with vendors while learning scripting and cloud data concepts under regular supervision.

Lead marketing analytics for clients by transforming data into dashboards and stories, building measurement frameworks, conducting consumer and competitive research, and applying media measurement methods (MMM, MTA, experiments) and statistical techniques to inform media budget and channel allocation.

Support AFSOC as a Data Analyst by querying, engineering, and analyzing data to derive insights, design algorithms, build data tools and self-service solutions, improve data quality, and collaborate on mission-focused products.

Deliver structured reporting, dashboards, and analytics to support executive and project decision-making. Prepare KPIs, design visual reports, automate data collection, ensure data quality, and collaborate cross-functionally to develop scalable BI solutions and actionable insights from large, multi-source datasets.

Develop, maintain, and enhance analytical datasets, data models, ETL workflows, and Power BI dashboards to support investment, front/middle office reporting, KPI monitoring, and automation. Ensure data quality, implement validation controls, build Python automation, and support AI-enabled analytics. Collaborate with stakeholders and tech teams for testing, documentation, and delivery of analytical data products.

Senior analyst to integrate and map Charles River Data (CRD) with accounting and data management systems. Requires 6-8 years BA experience with Charles River architecture and data model, and participation in back-office migration or Charles River upgrade projects.

Senior Technical Analyst role requiring 8-10 years in data warehousing. Responsible for data modeling, applying SDLC processes, designing/working with ETL or reporting tools, and strong database concepts to support enterprise data warehouse initiatives. Full-time, long-term position based in Herndon, VA.

Lead data analysis and architecture efforts for healthcare insurance projects: gather requirements, design source-to-target mappings and data models, enforce enterprise data standards, support data profiling/conversion, and participate in solution planning and estimations. Mentor/train others and translate business drivers into technical requirements across the SDLC.

Design and build a relational database application with a user interface and reporting. Partner with business to analyze needs, translate manual reports into automated solutions, and complete development, testing, deployment, documentation, and delivery of a production-ready, maintainable application using SQL, Oracle, and MS Access 2003.

Support and analyze data anomalies across Data Warehouse, ODS, replication and ETL environments. Collaborate with Business, DBA and ETL teams to document transformations, assist in production validation, configure data governance/virtualization/MDM solutions, maintain data dictionaries and lineage, and produce complex SQL queries and analysis in an agile team environment.

Maintain and analyze HR system data, design and program reports, ensure data integrity and security, support people analytics and ad hoc reporting, collaborate with HR and IT, and assist in system recovery and automation.

The Junior Data Analyst will conduct qualitative and quantitative analysis, evaluate processes, and provide scheduling and documentation support for a DHS client.

Support settlement programs by answering client data questions, validating claimant data and calculations using SQL/Python, performing quality checks, documenting solutions, and collaborating with litigation, engineering, and product teams.

The Senior Data Analyst will identify finance user needs, deliver technology solutions, manage projects, and train users, providing strategic insights from complex data sets.

Own and define operational metrics in BigQuery; validate and monitor data quality; build dashboards, lineage, and tooling; partner with engineering, product, and operations to turn analyses into repeatable KPIs and process improvements.

The Senior Data Analyst will provide analytical support for military assistance programs, ensuring data integrity, visualizations, and trends analysis while collaborating closely with clients.

The Senior Data Analyst will lead data analytics projects, train team members, and research new technologies to enhance data-driven insights for clients.

As a Senior Data Analyst, you will analyze game telemetry data, translate business needs into insights, and guide technical teams. You will also lead exploratory data analysis and maintain data quality practices.

Design, define, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance systems. Perform data cleansing, standardization, matching/merging, reporting, and statistics using SQL and Excel.

Design, build, tune and maintain enterprise data structures and databases. Gather and document business and technical requirements, perform data profiling, mapping and validation, support ETL and data warehouse implementations, coordinate testing and production rollout, provide ad-hoc datasets and reporting, and participate in data governance and control reporting.

Support Americas Sales and Marketing by performing CRM administrative and audit tasks, executing SAP web-interface tasks, running reports, performing Excel-based analysis and data audits, managing support inboxes, documenting processes, and training/transitioning work to third-party providers.

Support practice group leadership by collecting, cleaning, integrating, and analyzing data across finance, timekeeping, and billing systems. Build reports, dashboards, and automated workflows (SharePoint, Power BI, Power Automate) to monitor utilization, staffing, and productivity. Coordinate staffing, prepare recurring and ad-hoc analyses, and translate data into actionable recommendations for practice and firm leadership.