Top Analysis Reporting Jobs in Washington, DC

Design, build, and maintain AWS-integrated data pipelines and infrastructure. Translate business needs into schemas and data dictionaries, optimize for scalability, ensure data governance, troubleshoot stakeholders' issues, and provide Tier 3 support for deployed applications and dataflows.

Support and maintain consumer data platforms by building reusable data models, CI/CD and testing for data workflows, translating stakeholder needs into analytics layers, preparing and monitoring ML features, and ensuring data quality and governance to enable marketing, retention, and personalization efforts.

Support federal program by collecting, validating, analyzing, and reporting data. Maintain data dictionaries and metadata, develop dashboards and recurring reports, identify and resolve data quality issues, and collaborate with stakeholders to translate business needs into analytical products. Support continuous improvement and documentation of data processes.

Lead and execute qualitative and market research, policy analyses, and stakeholder engagements on data and technology in financial services; write and present research findings; manage project working groups and mentor junior staff; coordinate with analytics and academic partners for empirical workstreams.

Research and profile cryptoasset service providers (VASPs, custodians, exchanges) using on-chain and off-chain data. Apply AML concepts to assess risk, document findings to power entity screening and risk detection, collaborate with the Intelligence team, and help design/maintain automated pipelines and coverage processes.

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.

Develop and maintain certified, Section 508-compliant drill-down financial dashboards in Looker/Looker Studio backed by BigQuery. Implement semantic-layer models, row-level/report-layer security, reconciliation checks to Delphi, OA data segregation, operational metrics, and documentation for government maintainers.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

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

The Data Engineer will develop data and software solutions for law enforcement, create reports, and manage data sources. Responsibilities include collaborating with teams to analyze data, communicate with clients, and ensure high-performance analytics tools.