Top Analysis Reporting Jobs in Washington, DC

The Senior Director, US Policy Analytics will lead analytics to inform healthcare policies and their impacts, collaborating with various teams to provide insights for decision-making and strategy formulation in dynamic environments.

The Commercial Insurance Analytics Consultant leads analytical initiatives for commercial insurance, evaluates trends and risks, and makes recommendations to senior leadership while mentoring less experienced analysts.

The Supply Chain Analytics Manager gathers and analyzes data to drive insights, creates dashboards, and establishes data practices for informed decision-making.

The Databricks Specialist will design and optimize big data pipelines for the IRS, ensuring data governance and compliance in federal environments.

Conduct rapid political research by analyzing news, public records, campaign finance, voting histories, and legal documents; synthesize findings into concise research products for rapid response and communications teams; monitor national and local news; support department tasks as assigned.

Support ATF mission by receiving, reconciling, and entering case information into databases; maintain physical files, track case status, produce reports and word-processed documents, coordinate information requests, and provide timely status updates.

Lead and coordinate RA work to ingest, clean, transform, and analyze economic and financial datasets; apply ML (including tree-based and boosted time-series/panel models) and NLP; build data visualizations (PowerBI) and presentations; contribute to design and estimation of risk-assessment models.

Lead technical customer engagements to design and deploy Airflow-based data orchestration platforms on Astro. Conduct architecture reviews, build prototypes, diagnose and resolve production issues, guide migrations, and produce reusable tools and reference architectures to ensure scalable, secure, observable, and operationally excellent data platforms.

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.

Design and optimize data pipelines for web scraping and processing data. Collaborate with ML engineers and develop APIs while preparing data for analysis.