Top Data & Analytics Jobs in Washington, DC

The Mid-Level Analyst develops network security, manages data backups, evaluates technologies, ensures compliance, and creates technical roadmaps, requiring 5 years in modeling and simulation with specific technical skills.

The HR Data Analytics & Reporting Specialist analyzes HR data, develops reports and dashboards, collaborates with teams, and recommends operational improvements.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Support collection, validation, analysis, reconciliation, and reporting of adoption-related data. Produce dashboards, executive briefings, and statistical reports; maintain ATS, OneNote, and SharePoint documentation; respond to data requests, improve reporting processes, and coordinate with internal and external stakeholders.

Lead HR-focused data management, governance, analytics, and visualization efforts for a public diplomacy office. Consolidate and clean HR datasets, define data requirements and governance, develop interactive dashboards (Tableau/Power BI), provide insights to leadership, advise on data policies, and build data literacy across stakeholders.

Manage and administer authoritative databases and shared datasets, design data models, build ETL processes, enforce data quality, document data flows, optimize datasets for reporting and Power Platform, and support migrations, performance tuning, and data issue resolution.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

As a Data Scientist focused on policy, you'll analyze data to inform policy discussions, support partnerships, and measure impact on public perception. You'll collaborate cross-functionally to create clear evidence and frameworks for AI policy communications.

Perform data quality checks, develop analyses and financial models, implement test plans, audit data integrity, prepare reports and present insights to stakeholders. Support small-to-medium client projects and product implementations, and collaborate across business units to manage parts of project/product lifecycles.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.