Top Analytics Jobs in Washington, DC

Lead analytics strategy and portfolio measurement for payor-focused products. Define standards for actuarial value, client reporting, and internal measurement. Align cross-functional teams (actuaries, product, reporting, analytics) on priorities, requirements, and sequencing. Develop measurement frameworks, value stories, and reporting approaches to improve comparability, decision-making, and portfolio-level impact.

Perform data analysis and management, build reports, dashboards, calculators, and maps; present findings to clients and stakeholders; mentor junior staff; collaborate with data science and technical teams; use SQL, Python, GIS, BI and spreadsheet tools to translate data into actionable insights and client-facing deliverables.

The Data Engineer will develop data and software solutions for law enforcement, create reports, and manage data sources. Responsibilities include collaborating with teams to analyze data, communicate with clients, and ensure high-performance analytics tools.

Support the Data & Analytics team by developing search queries, gathering and organizing social/digital data, detecting trends in large datasets, and turning findings into client-ready insights and deliverables. Learn analytical tools and assist internal AI projects.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Lead enterprise data strategy, architecture, governance, and analytics to create a unified, federated data ecosystem. Build scalable platforms and capabilities, enable self-service BI and advanced analytics, drive AI enablement, steward data governance and quality, and lead change management, talent strategy, and adoption across global teams to support programs, fundraising, and operations.

Lead development and execution of measurement and insights strategies for B2B clients. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, present strategic recommendations, mentor junior staff, and partner with cross-functional teams to drive campaign performance and business impact.

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.

The Data Analytics SME will assess technical practices, perform data analysis, and manage data cleansing for compliance and reporting purposes. Responsibilities include using Tableau, PowerBI, and SAS for analytics and reporting, as well as supporting cross-agency data initiatives.

Lead design and execution of the internal analytics stack: scale the data warehouse, build dbt ETL pipelines, model data for cross-functional reporting, create dashboards and forecasts, implement data quality checks, and partner with Product, Sales, Finance, and Operations to define KPIs and automate analytics workflows.

Design, deliver, and maintain SAP Analytics Cloud solutions. Gather and model client data and KPIs, configure and migrate reports from SAP BW to SAC, collaborate with stakeholders, lead and mentor team members, and support BI implementations focused on Order-to-Cash and Procure-to-Pay processes.

Lead end-to-end SAP Analytics Cloud front-end development: gather requirements, design, build, optimize, test, deploy, and support reports. Define analytics strategy and roadmap, align BI with business stakeholders, manage budgeting and staffing, grow and mentor the analytics team, establish governance and best practices, and oversee SAP/non‑SAP integrations while monitoring SAP product roadmap.

Lead design, development, and delivery of SAP Analytics Cloud solutions. Gather and model client KPIs/data, configure/test/migrate SAC solutions, apply S/4HANA process analytics (Order-to-Cash or Supply Chain), support budgeting/forecasting, and mentor/manage junior team members.

Implement and maintain analytics platform components across database, ETL, integrations, dashboards, and occasional front-end work. Build ETL and APIs with Power Automate, Python, and Azure Data Factory; develop Power BI reports; apply AI features (AI Builder, Azure OpenAI/Search); support Azure DevOps CI/CD and document technical solutions. Work requires U.S. citizenship and Secret clearance.

Design, build, and maintain human capital dashboards and reports using Tableau/Power BI and Microsoft tools. Analyze complex workforce data, identify trends, recommend process improvements, document HR workflows (BPMN), validate data, and produce executive-ready reports and presentations supporting federal HR operations.