Top Analysis Reporting Jobs in Washington, DC

Analyze Medicaid and T-MSIS data to support healthcare payment model implementation and operations. Translate policy requirements into SQL specifications, analytic code, payment calculations, attribution methodologies, and quality measures. Assess data quality across states and delivery systems, validate outputs, document methodologies, and prepare reports for technical and non-technical audiences while collaborating with policy, operations, and analytics teams.

Analyze AML and sanctions data to identify trends, exceptions, and patterns. Build dashboards, recurring reports, and visualizations; clean and reconcile data; automate tasks using Python and analytics tools; translate business questions into analytical outputs; document methodologies; and collaborate with project teams supporting banking clients and regulatory 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.

Lead Oracle 19c database migration and extraction activities, including point-in-time snapshots, source-to-target mapping, ETL and PL/SQL analysis, data profiling, reconciliation, replication synchronization, partitioning, bulk loading, and performance tuning. Support migration into Palantir within a DoD/Army environment while maintaining data integrity, security, and compliance with STIG, RMF, and NIPR requirements.

Lead Oracle Fusion Cloud data conversion projects from legacy systems through final cutover. Design source-to-target mappings, develop complex SQL and PL/SQL transformation processes, manage FBDI and HDL data loads, and implement validation and reconciliation controls. Troubleshoot conversion issues, optimize performance, coordinate with functional and client stakeholders, and mentor junior developers throughout mock cycles, dress rehearsals, production cutover, and post-go-live support.

Leads data collection, modeling, analysis, performance measurement, program evaluation, dashboards, reporting, and modernization initiatives for the VA Transition Assistance Program. Integrates quantitative and qualitative information from VA, military, Department of Labor, and other interagency sources to identify gaps, evaluate pilots, develop performance metrics, and provide actionable recommendations. Prepares executive briefings and coordinates analytics activities with government and program stakeholders.

Designs and leads enterprise database architectures, data models, integrations, governance, and performance initiatives. The role supports scalable and secure SQL Server environments, cloud platforms, data warehouses, ETL processes, reporting, analytics, and transportation safety data systems. Responsibilities include optimization, security, backup and recovery, documentation, technical standards, and collaboration with software engineering and business teams. The position requires strong relational database, SQL development, administration, and enterprise data modeling expertise.

Supports government program data collection, reporting, statistical analysis, forecasting, visualization, and dashboard development. Builds data models, databases, automated reporting solutions, and briefing materials; analyzes and communicates findings to agency leadership. Develops data collection tools, trains staff, supports ETL and data quality efforts, and recommends automation improvements using Tableau, SQL, Python, R, SAS, and related data platforms.

Support government program data collection and analysis by developing automated reports, dashboards, and forecast models. Perform statistical analysis and visualization (Tableau, R/Python/SAS, SQL), build data products, update collection tools, train staff, and present findings to leadership to inform program assessments.

Builds and maintains financial and customer-service dashboards, data extracts, calculations, and visual reports for a federal government client. Responsibilities include translating requirements into reporting logic, validating data, reconciling outputs, performing data quality checks, documenting transformations and lineage, supporting SharePoint and FileOnQ workflows, and assisting with testing, configuration, and release coordination.