Top Senior Data & Analytics Jobs

Architects and governs Sutter Health’s enterprise semantic layer, creating reusable data models, security frameworks, and metric definitions. Designs and manages Microsoft Fabric and legacy SSAS tabular models, selecting Import, DirectQuery, or Direct Lake architectures to balance performance and freshness. Uses advanced SQL and DAX, dimensional modeling, Tabular Editor, DAX Studio, ALM Toolkit, Power BI, CI/CD, and Git integration. Works independently with minimal oversight and owns semantic infrastructure lifecycle management.

Leads ERP-focused business analysis for the Army Logistics enterprise, translating client needs into detailed requirements and actionable technology solutions. Evaluates development projects, monitors business analysis methods, validates solutions, assesses metadata quality, and supports enterprise data alignment. Queries and analyzes complex datasets using SQL, Python, PySpark, Microsoft Access, and Excel while managing stakeholders, trends, and process improvements.

Manage commercial analytics projects focused on omnichannel marketing, synthesizing data insights for strategic decisions, and providing recommendations to leadership.

Designs, develops, and optimizes enterprise data pipelines and integrations into Snowflake from Oracle Fusion, databases, and cloud applications. Ensures data quality, governance, security, scalability, and performance while supporting Power BI, AI, machine learning, and self-service analytics. Partners with business and technical stakeholders, leads engineering standards, mentors junior engineers, manages source-system migrations, and evaluates emerging data technologies.

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.