Top Data & Analytics Jobs in Washington, DC

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.

Researches and curates political and policy news, creates daily charts and graphics, produces data-driven editorial content, and supports newsletter production workflows. Uses AI tools for research and content development while maintaining accuracy and editorial judgment. Collaborates across teams, manages recurring deadlines, and identifies studies, reports, testimony, and other sources that provide meaningful context for government affairs professionals.

Maintains the ADEA Data Portal and research data platform, including dashboards, datasets, documentation, functionality, privacy, and security. Collects, cleans, validates, analyzes, and reports dental education data using surveys, administrative sources, scraping, and databases. Develops spreadsheet and interactive visual reports, supports members and vendors, contributes to automation and algorithms, and ensures data integrity and regulatory compliance.

Administer and maintain Oracle databases, including backups, restores, patching, installations, failover testing, recovery procedures, troubleshooting, database configuration, monitoring, alert tuning, and ServiceNow ticket management. Support SLA-driven requests and contribute to weekly activity reports while assisting with additional database platforms and automation.

Processes litigation-support data by creating load files, processing native files, converting files to TIF images, and copying encrypted media. Performs data loading, manipulation, conversion, virus scanning, staging, and quality checks. Reviews incoming productions for ESI specification compliance, identifies deficiencies, and assists with downloading and preparing files for database loading. Requires experience with Relativity or Ipro and eligibility for Moderate Risk Public Trust credentials.

Designs and implements data models, schemas, and ETL/ELT pipelines supporting analytics, reporting, and machine learning. Optimizes query performance, partitioning, and clustering; establishes data quality, governance, and security standards; integrates data with BI and machine learning tools; documents workflows; and mentors junior engineers. Collaborates with data scientists, analysts, and product owners to architect cloud-based analytical infrastructure and data marts.

Administers and engineers Microsoft SQL Server and PostgreSQL databases, including schema design, performance optimization, access control, backup and recovery, replication, licensing compliance, reporting, and management of databases larger than 1 TB. Requires an active Top Secret clearance with TS/SCI eligibility, a bachelor’s degree, seven years of database administration experience, and specified Linux or Microsoft certifications.

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.

Build and maintain ETL/ELT pipelines, explore and clean complex customer data, and deliver trusted analytics products, reports, visualizations, and AI-powered data capabilities. Partner with customers and internal teams to define data requirements, investigate discrepancies, validate AI/ML outputs, implement quality controls, and improve data tooling through automation. Translate complex findings and workflows into clear narratives and repeatable processes.