Top Senior Data & Analytics Jobs

Leads data analytics, business intelligence, and reporting for DHS CISA platforms. Analyzes user engagement, task completion, outreach, and stakeholder data; develops and maintains KPI dashboards; translates data into executive insights and recommendations; tracks performance targets; evaluates outreach campaigns; and conducts data quality audits.

Develop and support business intelligence solutions for healthcare clients using SAP, ETL processes, data warehouses, and data analysis. The role requires substantial experience translating healthcare data into business insights and supporting consulting technology solutions.

Leads enterprise workforce strategy through analytics, forecasting, scenario planning, capacity analysis, and workforce intelligence. Partners with HR, Finance, Strategy, business leaders, and executives to translate complex workforce and market data into recommendations that guide talent investments, organizational priorities, and long-term planning. Improves reporting and analytical capabilities while supporting evidence-based decision-making and enterprise workforce outcomes.

Design, build, and own business-critical data infrastructure, including AWS Glue and Spark pipelines, cloud warehouse or lakehouse systems, orchestration, and Tableau BI platforms. Define event-driven contracts, data models, schemas, observability, and batch or streaming architectures across multi-tenant, multi-region environments. Collaborate across producer and consumer teams while owning production data infrastructure and outcomes end to end.

Manages the daily operations and maturation of a federated enterprise data governance program. Leads governance councils and stewardship groups, defines roles, develops policies and guidance, drives stakeholder adoption and training, and advances data quality, metadata, lineage, and issue resolution practices. Partners with legal, privacy, security, compliance, business, technical, and external stakeholders while maintaining governance documentation, monitoring program performance, and coordinating approvals and improvements.

Leads Data Operations, including reporting, dashboards, data warehouse and dbt model oversight, data quality, governance, service levels, incident response, and stakeholder prioritization. Manages and develops data professionals while partnering with Data Engineering, Security, Privacy, Compliance, and Enterprise Architecture. Ensures reliable, secure, well-documented data services and protects PHI through appropriate access, privacy, lineage, retention, and monitoring controls.

Lead a BI engineering team, overseeing dashboards, data models, SQL/dbt transformations, ETL pipelines, Airflow DAGs, data warehouses, CI/CD, governance, and quality standards. Partner with stakeholders to define reporting requirements, conduct advanced analyses, manage Agile projects, and develop data strategy. Mentor team members and support production deployments. This fully remote role requires travel to Denver for five business days each quarter.

Develop and validate recurring and ad hoc reports, dashboards, scorecards, and analyses for a federal Health IT modernization initiative. Responsibilities include gathering reporting requirements, defining metrics and business rules, extracting and reconciling data, conducting data-quality checks, documenting reporting processes, investigating discrepancies, streamlining approved workflows, supporting testing, and communicating trends to stakeholders. The role also coordinates with technical and analytical teams and prepares supporting analyses for audits and government inquiries.

Analyze and model property catastrophe reinsurance treaties using catastrophe modeling platforms. Prepare and validate exposure data, execute models, interpret risk metrics, develop scenarios, and identify portfolio risk drivers. Support underwriting, actuarial pricing, placement, renewals, and management decisions through clear reporting. Participate in model validation, calibration, research, and development while collaborating with underwriters, actuaries, and other stakeholders.

Designs and maintains scalable batch and real-time data pipelines, reusable data models, and foundational datasets for Slack’s enterprise customers. The role optimizes schemas, SQL, ETL workflows, and data warehouse environments while establishing governance, documentation, SLAs, and engineering best practices. It partners with product, analytics, business, and engineering teams and contributes to GovSlack initiatives supporting regulated organizations.