Top Analysis Reporting Jobs in Washington, DC

Develop and support Informatica ETL solutions (~70% development, 30% support). Build error-handling frameworks with Autosys/Control-M/Tidal, configure PowerCenter grid, use IDQ and MDM, perform performance tuning, Unix scripting, Teradata/SQL work, and data profiling/cleansing/standardization. Work includes Informatica Cloud and MDM tool tasks.

Design and implement enterprise data architectures, define data governance and modeling standards, collaborate with stakeholders, document data structures, evaluate data management technologies, and support data integration for analytics and business needs.

The role involves maintaining SailPoint IIQ infrastructure, troubleshooting issues, developing scripts, and collaborating across teams to enhance identity management solutions.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Support testifying experts on antitrust and related litigation by designing and implementing econometric and statistical analyses, cleaning and analyzing data, managing workstreams, mentoring junior staff, producing written reports and exhibits, and communicating complex economic concepts to attorneys and clients.

Design, build, and maintain MicroStrategy reports and dashboards. Create mockups, graphics, schema and public objects, perform testing, audit reporting, and troubleshoot discrepancies. Work with SQL/Teradata/SAS/Minitab and web HTML/ColdFusion environments. Gather functional requirements, present to senior management, and follow SDLC (Waterfall or Agile). Onsite at Washington, DC for a 6+ month contract.

Design and maintain dashboards and reports, perform deep-dive analyses to identify trends and anomalies, ensure data integrity with engineers and data scientists, automate reporting, and translate complex datasets into clear insights for non-technical stakeholders.

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

Collect, analyze, and model operational data to identify problems and recommend solutions. Follow established evaluation processes, lead or direct others as needed, and use judgment to plan and accomplish goals. Support verification and clearance processes as required by government contracts.

Lead investment data strategy and architecture by analyzing datasets and workflows, defining logical models, metadata standards, and governance. Partner with front office and technology teams to identify quality/lineage issues, design scalable data services, influence AI and analytics initiatives, and drive cross-functional delivery from concept to implementation.