Top Data & Analytics Jobs in Washington, DC

Support monitoring, evaluation, and learning (MLE) execution for 1-2 country programs, handling data collection, quality assurance, and analysis.

The Power BI Developer will design, build, and enhance Power BI dashboards, perform deep analysis with Snowflake SQL, and support data governance using Azure services.

The Data Steward ensures data governance and quality by developing solutions, creating data metrics, conducting profiling, and collaborating with stakeholders to maintain data integrity.

The Data Modeler will develop and document data models, create data mappings for reports, and design process models to represent business processes, requiring hands-on expertise in data modeling for relational databases.

Business Intelligence SMEs model, construct, and tune business intelligence applications. They also manage teams and develop test plans.

The Assistant Account Executive will support the political team by managing competitive tracking dashboards, analyzing campaign data, drafting reports, and aiding in project documentation.

The Data Analyst will develop and maintain data processing systems and pipelines, ensure data quality, and collaborate with teams for data-driven solutions.

The Senior Data Engineer collaborates with clients to address their data needs, leads analytics and visualization projects, develops dashboards, and enhances data solutions. Responsible for SQL and NoSQL database projects, and supports the Department of Justice's mission-critical operations.

The Data Solutions Engineer develops and manages the firm's data platforms, ensuring data quality, designing data pipelines, collaborating with teams, and implementing data security while supporting digital transformation initiatives.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.