Top Data & Analytics Jobs in Washington DC,

The Energy Analyst will build quantitative models, conduct market analyses, support expert witnesses, and contribute to client deliverables. They will collaborate with senior team members and apply economic theories and data analysis to complex energy issues.

The Manager focuses on OneStream, leading implementations and technical support for clients, gathering requirements, and ensuring effective solutions. Collaboration with teams and client training are key responsibilities.

The Data Cleanse Specialist will ensure the accuracy, completeness, and compliance of financial data, lead data cleansing activities, and collaborate with various teams.

Analysts assist in preparing transfer pricing reports and conduct business valuations for tax reporting purposes under senior direction, focusing on financial models and economic analysis.

This role involves leading the migration of legacy SharePoint solutions to Power Platform applications, designing Dataverse data models, and providing operational support for SharePoint Online. It requires close collaboration with business stakeholders and technical teams.

The Data Specialist coordinates evidence shipments, supports project management in data handling, ensures adherence to protocols, and manages data documentation. They communicate with internal departments and assist in data integrity tasks.

The Associate will manage media analytics projects, deliver client research, promote analytics services, and provide training to colleagues while ensuring project success and client satisfaction.

Lead strategic initiatives at GMMB by overseeing data infrastructure, managing Data Analysts, and developing guidance for political campaigns and other industries.

The Senior Vice President will advise clients on research strategies, lead teams, drive revenue growth, and oversee research programs while fostering collaboration and professional growth.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.