Top Data & Analytics Jobs in Washington, DC

Analyze Medicaid and T-MSIS data to implement CMS payment model functions, including attribution, payment calculations, and quality measurement. Translate policy into specifications, SQL code, analytic files, and documented methodologies. Assess cross-state data quality, link Medicaid and Medicare sources, perform quality assurance, reconcile results, and communicate findings to technical and non-technical audiences. The role also involves code review, knowledge sharing, and supporting federal healthcare consulting engagements.

Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.

Leads data validation risk initiatives, strategic analytics direction, business development, and complex data quality programs across client engagements. Oversees data collection, preprocessing, modeling, statistical analysis, validation routines, and control-gap assessments. Translates findings into executive recommendations, manages senior client relationships, mentors analytical teams, and advances data governance and AI-enabled analytics while ensuring professional and independence standards.

Own analytics engineering for the machine infrastructure supply chain team. Build and maintain semantic layers, trusted data models, metrics, dashboards, and analytics-ready datasets using dbt and modern data platforms. Analyze inventory trends, optimize stock levels, investigate discrepancies, and develop supply chain KPIs. Partner with data engineering, finance, product, operations, planners, and buyers while improving inventory planning, replenishment, ERP processes, and warehouse efficiency.

Own and maintain dbt data models across design, testing, deployment, monitoring, and documentation. Translate ambiguous Marketing and Product needs into reliable data solutions, write design documents, support production issues, create runbooks and schema documentation, and coach junior engineers. The role uses SQL, Python, Snowflake, dbt, Dagster, and AWS while partnering closely with Marketing, Data, and MarTech teams.

The Deployment Strategist collaborates with teams to deploy software solutions, analyze data, and train customers while addressing complex operational challenges.

Own the architecture, development, governance, and reliability of Carlyle’s Corporate Finance Data Warehouse. Lead migration from SSIS, SSRS, and SSAS to Snowflake, Fivetran, dbt, and modern BI tools. Establish certified metrics, lineage, data quality, security, and audit controls while developing engineers, directing contractors, and partnering with Finance leadership. The role requires hands-on technical leadership, stakeholder management, and four days per week in the Washington, DC office.

Develop and administer Oracle Analytics Cloud solutions, including reports, dashboards, semantic models, security, user access, and performance monitoring. Support migration from Oracle Analytics Server to OAC by managing RPD and BAR files, validating migrated content, and remediating issues. Troubleshoot data and access problems, collaborate with technical and business teams, and document migration and operational procedures.

Support on-site deployments and administration of a task management solution using Microsoft Power Platform, SharePoint Online, Microsoft 365, and Power BI. Responsibilities include help desk support, troubleshooting, dashboard and report development, automation, testing, customer training, change management, documentation, leadership presentations, configuration support, and user adoption. The role serves as the primary customer-site contact and requires an active Secret clearance and full-time on-site work.

Develops and maintains secure data pipelines, ETL/ELT workflows, data transformations, and analytics-ready datasets. Processes structured and unstructured data using platforms such as Databricks, Spark, Palantir Foundry, and Maven Smart Systems. Applies data validation, modeling, and quality practices while collaborating with data scientists, engineers, and mission stakeholders. The role requires onsite work in a SCIF and an active U.S. government security clearance.

College internship supporting transit strategy, planning, and performance analysis. The intern compiles, reviews, and analyzes numerical and operational data; prepares reports, presentations, correspondence, data visualizations, and project plans; researches information; identifies issues; and recommends solutions under supervision. The role provides practical exposure to transit operations and departmental functions while requiring participation in meetings, training, and safety initiatives.

College intern supporting transit performance and strategic planning through data compilation, analysis, reporting, presentations, and research. The role may analyze transportation operations, business processes, performance measures, and service reliability while collaborating with operational staff. Interns attend meetings and training, identify reporting issues, recommend solutions, and produce reports, presentations, data visualizations, correspondence, or project plans. The position is a temporary summer assignment lasting up to 13 weeks.

Summer college internship supporting WMATA’s Safety Data Analytics team. The intern will compile, review, and analyze safety and operational data; prepare reports, presentations, correspondence, and data visualizations; research information; identify problems; and assist with departmental meetings and projects. The role provides practical exposure to transit safety, operations, analytics, and public-sector business functions.