Top Data & Analytics Jobs in Washington, DC

Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.

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.

Support FBI mission by gathering, reconciling, entering, and organizing information from multiple sources; maintain case files, produce reports and status updates, perform word processing, and coordinate requests to ensure compliance with deadlines.

The Senior Business Information Architect leads the enterprise's information landscape through strategic architecture, metadata management, and collaborative governance while ensuring alignment with business requirements and regulatory standards.

Perform program and outcomes analyses for healthcare informatics using statistical and analytical tools. Extract, clean, aggregate, and visualize large datasets; develop dashboards, reports, and recommendations. Apply advanced analytics and policy knowledge to evaluate programs, guide decisions, and present findings to stakeholders. Collaborate cross-functionally and support testing, implementation, and training.

Design, architect, and build scalable data platforms and pipelines (Databricks on AWS). Implement ETL and API data interfaces, optimize data infrastructure and streaming (Kafka), and improve data quality and availability. Collaborate in an agile scrum team supporting a high-visibility public-facing product. Must be a U.S. citizen eligible for Public Trust clearance.

The Business Analyst supports the administration cluster by monitoring performance, managing data analytics, and generating executive reports while collaborating with staff across the organization.

Lead renewal operations analytics and systems: design and improve renewal processes, maintain forecasting and performance tools, gather requirements, partner with developers, run UAT, analyze sales and retention trends, identify root causes, and drive data accuracy, scalability, and adoption across sales, finance, and technical teams.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Data Analyst analyzes complex datasets, identifies trends and risks, validates business requirements, and collaborates with technical teams to support reporting and decision-making.