Top Senior Data & Analytics Jobs in Washington, DC

Designs, builds, maintains, and troubleshoots SQL queries and data extracts for financial and operational reporting. Transforms source data into reliable datasets, automates recurring processes, validates and reconciles data, identifies quality issues, and supports integrations between systems and analytics platforms. The role also documents data flows and technical processes while supporting federal law enforcement clients.

Leads enterprise database architecture, administration, integration, testing, performance tuning, security, and governance across on-premises and cloud environments. Maintains data dictionaries, resolves data conflicts, manages repositories, develops complex SQL and PL/SQL, and directs high-impact database changes. Collaborates with program managers, senior stakeholders, and intelligence community partners while safeguarding classified information.

Design, build, and maintain reliable ETL/ELT pipelines, data models, warehouses, lakes, and databases. Implement data quality, monitoring, cleansing, and security practices while supporting AI-ready data capabilities and analytics initiatives. Collaborate with architects, analysts, business stakeholders, vendors, and consultants to translate requirements into scalable technical solutions. Document processes, troubleshoot issues, optimize workflows, and manage multiple projects in a deadline-driven environment.

Leads business intelligence strategy, dashboard development, data analysis, automation, and a small BI analyst team. Builds Power BI solutions using data from financial, sales, customer success, CRM, and operational systems. Partners with data engineering and business leaders to ensure data quality, deliver actionable insights, support customer retention and expansion, and present recommendations to executives. Provides technical direction, mentorship, prioritization, documentation, and end-user training.

Leads Alteryx’s product telemetry and analytics function, including instrumentation, semantic-layer governance, self-service analytics, intake prioritization, capacity planning, and executive communication. Manages a team in India, develops talent, improves data adoption and trust, and partners with technical and business leaders to sequence platform work. The role requires expertise in product analytics, data architecture, analytics operating models, metric governance, and stakeholder enablement.

Lead development and delivery of BI dashboards and reports, architect scalable BI systems, ensure data quality and governance, perform advanced analysis and forecasting, provide strategic recommendations, establish standardized data models, mentor junior analysts, and communicate insights to stakeholders to inform business decisions.

Leads globally distributed database operations supporting mission-critical Department of State systems. Manages database support staff, Tier II/III operations, monitoring, performance, availability, capacity, automation, security, and reliability. Designs data warehouses, dimensional databases, data models, metadata repositories, architectural strategies, interfaces, partitions, indexes, backup processes, and database standards. Translates business requirements into scalable architecture solutions and coordinates staffing, training, reporting, project controls, and customer support.

Analyze single-family mortgage portfolio risk and support development of an acquisition portfolio optimization tool. Research emerging market, regulatory, and macroeconomic risks; define model requirements with cross-functional teams; assess trends, relationships, forecasts, scenarios, and stress tests; mentor junior analysts; and present recommendations to senior management and stakeholders.

Analyzes and manages quantitative data, develops Power Automate workflows integrated with Tableau and SharePoint, and supports reporting, data quality, data modeling, and data management processes. The role includes reviewing errors, merging data sources, preparing summaries and presentation graphics, documenting corrections, and ensuring data integrity. It also requires extensive experience with web services and software testing tools, Agile testing life cycles, and secure federal client environments.

Leads data analytics activities for a DHS CISA contract, ensuring accurate analysis and communicating findings to project stakeholders. Requires at least six years of senior data analyst experience, including three years supporting national security, defense security, or homeland security data. The role requires a relevant quantitative degree, substantial mathematics coursework including calculus, and a recognized data science or analytics certification.