Top Data & Analytics Jobs in Washington, DC

Build and maintain dbt data models while migrating workflows from Alteryx, managing Dagster or Airflow pipelines, and supporting Redshift analytics. Partner with RevOps stakeholders to translate data into business insights, dashboards, KPIs, ABM initiatives, and customer health scoring. Explore LLMs, predictive analytics, and SageMaker machine learning for use cases such as churn prediction and lead scoring.

Leads the design, development, and delivery of dashboards, KPI frameworks, benchmark analyses, and reporting solutions. Integrates data from multiple systems, improves data quality, manages analytical standards, and translates business needs into actionable insights. Collaborates with cross-functional stakeholders, mentors analysts, reviews analytics products, supports program and portfolio reporting, and presents findings to executive and operational audiences.

Evaluate search engine results and provide feedback on text, audio, images, and videos to improve AI and online search experiences. Conduct online research, assess relevance and significance, maintain quality and accuracy standards, and complete assignments independently from a home office. The role requires English and Spanish proficiency, flexible part-time availability, completion of training and testing, and use of a smartphone, computer, reliable internet, and antivirus software.

Lead architecture and build scalable data pipelines and ETL for large datasets, optimize data models and DB structures, ensure data quality and governance, work with cloud platforms (Snowflake/AWS), mentor junior engineers, collaborate with data scientists and product teams, and apply geospatial and big-data technologies to deliver data-driven transportation solutions.

Lead data analytics initiatives supporting federal program performance management and leadership decision-making. Develop advanced analytics solutions, integrate data from SAM, FSMS, and SharePoint, create dashboards and performance metrics, ensure data accuracy and federal compliance, and provide insights to improve operational efficiency. The role requires on-site work in Washington, D.C., prior DHS or DoD experience, and extensive data analytics experience.

Lead development and delivery of enterprise risk adjustment analytics and BI solutions. Translate clinical, claims, and operational data into actionable provider and market-level insights, drive KPI reporting, modernize analytics via AI/automation, oversee BI platform strategy, and lead a team to support stakeholders across Risk Adjustment, Finance, Clinical, and IT.

Administer, optimize, secure, and troubleshoot enterprise on-premises and cloud database environments. Manage PostgreSQL high availability, backups, recovery, disaster recovery, access controls, auditing, data governance, performance tuning, and production incidents. Develop SQL queries, scripts, reporting logic, and Power BI dashboards. Automate administrative tasks and independently support complex federal enterprise environments while meeting DoD 8140 qualification requirements.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, data validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle improvements. Translates stakeholder requirements into data solutions, coordinates cross-functional technology teams, guides platform initiatives, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases.

The Data Journalist will cover US politics, economics, finance, trade, markets, and campaign finance. Responsibilities include pitching, researching, analyzing, writing, and delivering original data-driven stories using R or Python, web scraping, APIs, and large databases. The role collaborates with editors, correspondents, reporters, and visual journalism colleagues internationally, while explaining quantitative findings to broad audiences. Data visualization, statistical methods, data pipelines, financial journalism, Git, and Adobe Illustrator experience are desirable.

Develop and maintain interactive Power BI dashboards and reporting tools tracking program performance, operational outcomes, and AI pilot progress. Gather reporting requirements, define metrics, integrate data from multiple sources, create actionable visualizations, analyze trends, validate calculations, and support testing, troubleshooting, and documentation. Collaborate with technical and functional stakeholders to ensure accurate, consistent, and useful reporting.