Top Remote Analysis Reporting Jobs in Washington, DC

The Performance/Data Analyst III leads advanced analytics, machine learning modeling, ETL development, and reporting for DOJ operational and strategic needs.

Lead mixed-methods research with a quantitative focus: design analytics, run experiments, analyze product usage, build dashboards, enable self-service, support product discovery, and translate findings to influence product strategy.

Maintain and monitor data pipelines that aggregate healthcare claims for the Cost Roll process. Validate and reconcile claim and provider demographic data, troubleshoot data issues, perform data quality checks, and collaborate with stakeholders to ensure reliable downstream financial and clinical systems.

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.

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 enterprise data strategy, architecture, governance, and analytics to create a unified, federated data ecosystem. Build scalable platforms and capabilities, enable self-service BI and advanced analytics, drive AI enablement, steward data governance and quality, and lead change management, talent strategy, and adoption across global teams to support programs, fundraising, and operations.

Lead development and execution of measurement and insights strategies for B2B clients. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, present strategic recommendations, mentor junior staff, and partner with cross-functional teams to drive campaign performance and business impact.

Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.

Perform program and outcomes analyses for healthcare informatics using statistical and analytical tools. Extract, clean, aggregate, and visualize large datasets; develop dashboards, reports, and recommendations. Apply advanced analytics and policy knowledge to evaluate programs, guide decisions, and present findings to stakeholders. Collaborate cross-functionally and support testing, implementation, and training.

Leads WWT’s Data Reliability and AI Readiness pillar, setting enterprise AI data strategy and standards for trustworthy, reusable data. Oversees certification, lineage, quality SLAs, readiness scoring, data products, dashboards, and AI-powered reporting. Coordinates IT, AI engineering, analytics, business, and data teams on enterprise initiatives. Manages a Product Owner and engineers, improves operational data, promotes certified data products, and translates internal AI and data capabilities into customer-facing value.