Top Senior Data & Analytics Jobs in Phoenix, AZ

Design, build, and optimize scalable data platforms, pipelines, and lakehouse/warehouse solutions using Microsoft Fabric and Azure. Implement ETL/ELT, data migration from SQL Server, governance, CI/CD, streaming integrations, and Power BI connectivity to enable analytics and AI initiatives while ensuring security and performance.

Designs and advances the firm's enterprise data and analytics capabilities, including data warehouses, lakes, semantic models, pipelines, dashboards, predictive models, machine learning solutions, and AI-ready data assets. The role ensures data quality, governance, scalability, and performance while partnering with business and technology leaders. Responsibilities also include translating business requirements into analytics solutions, evaluating emerging technologies, supporting AI applications, and providing technical leadership for data strategy and engineering best practices.

The Principal Analyst leads employee and patient experience surveys, performs advanced analytics, supports job analysis, and strategic workforce planning, providing actionable insights to enhance HR practices.

Lead the enterprise Tableau environment by architecting and administering Tableau Cloud, establishing governance and reporting standards, building executive dashboards, and delivering actionable insights. Develop advanced SQL queries, semantic layers, and optimized datasets while supporting QlikView-to-Tableau migration. Partner with stakeholders and external customers, define KPIs, present findings, train users, ensure data integrity, and mentor junior analysts.

Lead advanced analytical work to support member demand generation marketing: gather, wrangle and integrate data, apply statistical and quantitative methods (including A/B testing and propensity models), build visualizations and recommendations, present findings to leadership, and help operationalize data-driven strategies.

The Director leads the Authoritative Data Source strategy, managing data governance and controls, ensuring compliance, and overseeing a skilled team in improving data consumption practices.

The Senior Data Engineer will design and implement data processing pipelines using Java and Spark, optimize performance, and mentor junior engineers while ensuring compliance with data governance standards.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

Lead Netezza DBA responsible for administering and tuning Netezza appliances, supporting development and production environments, capacity planning, security design, data migrations, monitoring, vendor coordination, troubleshooting slow queries, and leading the DBA team including on-call duties.