Top Senior Data & Analytics Jobs in Washington, DC

Develop and maintain Power BI dashboards, reports, data models, and visualizations supporting commercial sales decisions. Translate business requirements into scalable analytics solutions, improve forecasting and performance reporting, troubleshoot data and reporting issues, validate releases, and maintain DataMart reliability. Partner with sales leaders, business analysts, stakeholders, and technical teams while following governance and development standards.

Analyze large and complex datasets to identify trends, clean and transform data, query databases with SQL, and develop dashboards and visualizations using Databricks, Tableau, Power BI, and Excel. Produce analytical reports and recommendations, apply predictive analytics when appropriate, and support agile delivery through user story documentation and testing.

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.

Builds and operates scalable Azure data pipelines, storage, datasets, and data products for analytics and operational insights. Responsibilities include Azure Data Factory development, Blob Storage and Azure SQL optimization, dimensional and Data Vault modeling, data quality and governance, security, monitoring, troubleshooting, CI/CD, and performance optimization. Collaborates with analytics, product, and operations teams to deliver reliable, documented data solutions. Desired experience includes Synapse, Fabric, Power BI, streaming technologies, infrastructure as code, and data cataloging.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Leads the firm’s global data governance program, establishing operating models, ownership and stewardship frameworks, data quality standards, metadata and lineage practices, governance forums, policies, controls, training, and measurement. Partners with business and technology stakeholders to resolve data issues, improve governance adoption, support regulatory and privacy requirements, and build trusted data foundations for analytics, innovation, automation, and AI.

Leads and oversees eDiscovery data specialists handling file manipulation, conversions, database loads, exports, productions, and quality assurance. Verifies client requests, ensures productions meet ESI specifications, identifies deficiencies, improves workflows, and mentors junior staff. Requires strong Relativity and Nuix experience, knowledge of litigation discovery and EDRM workflows, and at least five years of eDiscovery experience.

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.

Leads informatics strategy and data programs for a federal health practice, coordinating business, clinical, operational, and technology teams. Oversees analytics, information management, reporting, data quality, security, compliance, system optimization, and process improvement. Manages project outcomes, financials, risks, audits, and stakeholder expectations while recruiting and developing informatics staff. Requires extensive federal healthcare experience, including TRICARE claims data, repricing, encounter data, and large-scale data pipelines.