Top Analysis Reporting Jobs in Washington, DC

Leads data strategy, governance, quality, metadata, lineage, and trusted-data practices across a complex federal healthcare program. Coordinates data owners, engineering teams, source-system teams, and stakeholders; establishes standards, controls, roadmaps, and measurable outcomes. Provides senior oversight of Databricks, Spark, Python, SQL, schema design, workflows, pipeline reliability, Unity Catalog, documentation, and data discoverability. Supports stakeholder communications and proposal presentations.

Supports social listening and digital analytics by developing search queries, organizing online conversation data, identifying trends and themes, and translating findings into concise insights, narratives, presentations, and reports. The intern will also learn analytical tools, apply new methodologies, and support internal AI projects while managing deadlines and collaborating effectively.

Designs, builds, and operates enterprise data lakes, warehouses, lakehouses, ETL/ELT pipelines, databases, and reporting platforms. Prepares governed, model-ready data for AI and machine learning, supports feature stores and embedding workflows, administers relational databases, optimizes queries and dashboards, and ensures data quality, security, availability, and disaster recovery. Collaborates with technical and business teams, reports to senior management, and mentors data engineers.

Analyze and integrate client and acquisition data, develop analytical methodologies, maintain databases, create reports and technical deliverables, conduct research and reviews, troubleshoot data issues, and provide recommendations. The role also supports project objectives, strategic direction, system testing and implementation, and client relationship management.

Lead migration of Informatica PowerCenter ETL workloads from on-premises Oracle infrastructure to Oracle Cloud Infrastructure. Assess, configure, migrate, validate, troubleshoot, and optimize enterprise ETL processes across environments. Develop data reconciliation and source-to-target validation, resolve performance and connectivity issues, coordinate cloud and database dependencies, and maintain migration documentation, test plans, runbooks, and recovery procedures. Support production readiness, change control, defect resolution, security processes, and knowledge transfer for the VA Enterprise Data Warehouse.

Develops dashboards, reports, scorecards, and analytical products using BI and visualization tools. Analyzes and integrates data from multiple sources, performs trend and performance analysis, translates stakeholder needs into reporting requirements, and presents insights to technical and non-technical audiences. The role also supports reporting validation, quality controls, data governance, documentation, and collaboration with data engineers, data scientists, and federal program stakeholders.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Analyzes marketing and CRM data, builds KPI dashboards, provides campaign and business development recommendations, and manages Salesforce administration, automation, audits, permissions, and data quality. The role validates integrations, supports migrations, troubleshoots system discrepancies, identifies enrichment opportunities, and provides user onboarding, training, and documentation. It collaborates across marketing and business development teams to improve prospecting, relationship management, cross-selling, client acquisition, and retention.

Develops and maintains HCM dashboards, APIs, data pipelines, and analytical products for USDA modernization initiatives. Translates business requirements into secure, scalable data solutions; supports migration planning, data quality, governance, metadata, systems integration, testing, validation, and Databricks Lakehouse architecture. Responsibilities also include requirements analysis, UAT coordination, documentation, training, and lifecycle management of HCM data products.

Supports cybersecurity data-source onboarding and maintains Cribl and Databricks pipelines for collection, transformation, enrichment, normalization, validation, and delivery. Develops Python and SQL automation, troubleshoots ingestion and schema issues, monitors pipeline performance, documents data flows and procedures, and supports integrations with security and analytics platforms. Collaborates with engineers, analysts, data scientists, and mission stakeholders in classified and unclassified environments.