Top Analysis Reporting Jobs in Washington, DC

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 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.

The Business Intelligence/Data Cube Developer will generate reports and data cubes, write custom ETL jobs, and support analytics for a federal agency.

The Lead Business Analyst will support AWS migration efforts, focusing on operational design and PMO experience within AWS Cloud environments.

Analyze article and newsletter performance, translate data into concise insights for editorial decision-making, run and interpret A/B headline tests, track audience behavior across products and channels, identify high-performing formats and topics, and collaborate with editorial, product, and marketing teams to grow subscriber engagement.

The SAP Business Analyst will develop solutions for SAP ERP systems, support DoD projects, manage Agile processes, and ensure client objectives are met through technical requirements and testing processes.

The Senior Data Management Consultant will enhance data-driven decision-making for DSCA by analyzing business management services, improving data management systems, and supporting strategic planning.

Design, implement, and maintain Azure-based ELT/ETL pipelines and data architecture. Migrate and normalize source data into ADLS, enforce quality controls, source control, documentation, and self-service analytics. Optimize storage/processing, audit pipelines, and explore AI-assisted tooling.

Design, architect, and build batch, real-time, and event-driven data platforms and streaming applications. Integrate monitoring and IT operations tools, create data schemas and models, mentor peers, engage in pre-sales, and provide technical leadership and documentation for enterprise data solutions.