Top Senior Analysis Reporting Jobs in Washington, DC

The Senior IT Data Engineer will design and implement enterprise data architectures, develop scalable ETL/ELT pipelines, and support data-driven initiatives for the Federal Reserve Board.

Lead quantitative research and analytics for political and commercial clients: design experiments and surveys, manage RCTs and statistical modeling, generate strategic insights, oversee a team of data scientists and analysts, and deliver client-facing recommendations.

The Business Analyst will coordinate requirements gathering, analyze processes for improvement, manage procurement, and assist with customer requests and purchase orders.

Data and Analytics Consultants help clients deliver strategic initiatives through data-driven decisions, requiring technical expertise and problem-solving skills.

The Data Scientist/Analyst will evaluate economic performances, develop performance metrics, and create dashboards for the Department of State, while collaborating on complex challenges through data-driven insights.

Lead and grow customer analytics practice for Communications, Media & Technology clients. Define strategy and thought leadership, design CRM modeling and reporting, deliver large-scale analytics engagements, and apply predictive analytics to drive client outcomes.

Lead design and implementation of data architecture and reliable ETL processes to move data between heterogeneous sources and targets. Troubleshoot and resolve data architecture issues, collaborate with business analysts and technology teams, set up and test systems, and optimize ETL performance to support domestic resilience initiatives.

Designs, builds, and maintains secure cloud data pipelines and centralized repositories; publishes curated datasets; develops WPS AI agents; produces dashboards and visualizations for senior military leadership; supports NATO and annual statutory reporting and prepares technical briefings and deliverables.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Manage lab data processing services, ensuring compliance with ESI specifications, overseeing eDiscovery professionals, and consulting with attorneys on best practices.