Top Senior Data & Analytics Jobs in Washington, DC

Provides executive-level data analysis and strategic advisory support to FBI National Security Branch leadership. Responsibilities include querying enterprise databases, evaluating program performance, developing Excel and Power BI analyses, authoring policy and briefing materials, tracking executive taskers, and briefing senior leaders on operational readiness, resource allocation, fiscal alignment, and mission execution. Requires extensive federal government experience, executive staff support, policy writing, budget analysis, and an active Top Secret clearance with SCI eligibility.

Leads enterprise data governance operations and Cambia’s data platform governance, including stewardship, metadata, data quality, classification, lineage, and semantic-layer governance. Develops policies and standards, ensures regulatory compliance, improves processes, tracks KPIs, and builds AI-ready data foundations. Manages employees and contractors, partners with IT, Security, Compliance, Privacy, and business stakeholders, and executes strategic governance plans while contributing hands-on to technical deliverables.

Develops and maintains secure Tableau dashboards, reports, workbooks, data queries, and automated reporting processes in a government environment. Integrates and validates data from multiple sources, optimizes queries and Tableau performance, implements access controls and data-level security, and troubleshoots complex reporting issues. Conducts quantitative and qualitative analysis, develops statistical or analytical models, creates interactive visualizations, and collaborates with stakeholders to deliver accurate, scalable business intelligence solutions.

Analyzes complex structured and unstructured data for National Security clients, developing methodologies, models, visualizations, metrics, and recommendations. The role involves data wrangling, statistical analysis, Python-based interfaces, Tableau or Matplotlib visualizations, and presenting findings to clients and stakeholders. The analyst supports cross-functional decision-making, handles protected data and ethical AI practices, and requires knowledge of military and Intelligence Community environments.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Analyze, clean, transform, validate, and document structured and unstructured datasets for federal analytics and AI-enabled systems. Maintain data pipelines, develop Power BI or similar dashboards, conduct exploratory analysis, identify data-quality issues, automate reporting workflows, and communicate findings to technical and non-technical stakeholders. Ensure data products meet federal standards for accuracy, governance, compliance, and usability.

Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.

Architect and maintain secure, scalable data platform infrastructure and resilient batch and streaming pipelines. Build infrastructure using Terraform and Helm, deploy cloud data services, optimize schemas and database performance, and implement monitoring and alerting. Partner with application teams to resolve data issues, establish governance practices, and support MLOps through model versioning, containerization, and deployment.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

Designs, builds, and optimizes scalable data pipelines, warehouses, lakes, and platforms integrating complex network operations data. Uses Kafka, Elastic Stack, AWS, Kubernetes, and automation to support ingestion, transformation, analytics, dashboards, security, and compliance. Responsibilities include ETL/ELT, data validation, CI/CD, performance tuning, troubleshooting, documentation, and collaboration with analysts and visualization engineers. The role requires an active TS/SCI clearance, Security+ certification, and extensive data engineering experience in DoD or similarly secure environments.