Top Data & Analytics Jobs

Develops and maintains production-grade analytics applications, dashboards, datasets, ETL processes, and enterprise analytics content. Designs database queries, performs testing and code reviews, maintains repositories and documentation, responds to incidents, and supports analytics tools. Provides user support, training, mentoring, and requirements gathering while collaborating with agency analytics and information services teams. The role uses tools such as R, Shiny, Python, Tableau, SQL, Git, and related business intelligence platforms.

Lead design, build, and operate scalable Databricks/Delta Lake data pipelines and Kimball dimensional models using dbt. Manage governance with Unity Catalog, optimize performance and cost, operationalize ML with MLflow, and coordinate/quality-check offshore vendor engineering. Mentor engineers, uphold standards, and deliver trusted data products that power analytics, reporting, and MLOps workflows.

Serves as a data-management subject matter expert supporting intelligence and counterintelligence organizations. Establishes data frameworks, governance policies, metadata standards, quality controls, interoperability processes, KPIs, dashboards, and analytical products. Advises leadership on modernization, resource allocation, and operational planning; coordinates with data scientists, engineers, security personnel, and Intelligence Community stakeholders. Requires active TS/SCI CI Poly and on-site work in a DIA SCIF.

Transforms complex business data into actionable insights for product roadmap and strategic decisions. Responsibilities include data gathering, cleaning, analysis, visualization, dashboard development, strategic intelligence, business requirements gathering, and BI tool development. The role collaborates with cross-functional stakeholders, presents insights to leadership, and supports improved business practices through data storytelling and quantitative analysis.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Owns data architecture and pipeline infrastructure for classified government AI model evaluation. Responsibilities include building database schemas, ETL workflows, API-based cross-domain data movement, sensor data standardization, geospatial transformations, pipeline monitoring, governance compliance, and documentation. The role requires collaboration with imagery scientists and government customers in a SCIF-based environment.

Analyze pricing, campaign, and portfolio performance to inform Ad Sales and Capital business decisions. Build dashboards, reports, and analytical tools; identify trends and optimization opportunities; automate recurring processes; monitor campaign and portfolio results; and translate complex data into actionable recommendations. Collaborate with Creator, Ad Sales, Finance, Engineering, and Analytics teams to develop scalable, data-driven solutions.

Owns recurring executive reporting, competitive intelligence, cross-brand analytics, and ad hoc analysis across Match Group brands. Consolidates metrics from multiple data sources, analyzes user overlap and migration, sizes markets, supports executive and Board decisions, and improves reporting automation. Requires strong SQL, Excel, BI visualization, communication, and presentation skills across marketing, product, finance, and research data.

Analyzes and manages large student-level datasets, ensures federal and state reporting compliance, develops data standards, produces reports, supports web-based data collection and accountability systems, and provides technical assistance to school districts. The role requires data extraction, SQL querying, data validation, troubleshooting, training, and collaboration with cross-functional teams. This is an in-person position in Oklahoma City with less than 10% travel.

Designs and governs enterprise data architecture for a Medicare Advantage health plan. Builds data models and integrations supporting claims, EHRs, risk adjustment, HEDIS, Star ratings, CMS reporting, analytics, and AI/ML. Establishes governance, security, privacy, lineage, and data quality frameworks for regulated PHI/PII environments. Evaluates cloud platforms and vendors, leads cross-functional architecture initiatives, and advances capabilities such as FHIR interoperability, generative AI, and real-time streaming.