Top Data & Analytics Jobs in Phoenix, AZ

Lead analytics across business programs, delivering insights, forecasts, dashboards, and governed datasets. Partner with Data Science, Product, and Engineering to define measurement, build pipelines, monitor model health, and produce executive-ready recommendations. Establish analytics and AI best practices, mentor analysts, and replace manual processes with automated reporting and decision analytics.

The Special Investigations Analyst conducts complex financial investigations, analyzes suspicious activities, produces reports, and collaborates with stakeholders and law enforcement while ensuring compliance with financial regulations.

The eDiscovery Project Analyst manages eDiscovery projects, coordinates with stakeholders, performs analysis using eDiscovery tools, and ensures compliance with legal standards.

The Senior Data Analyst provides support for data management functions, leads data analysis and reporting, and audits data feeds in a healthcare environment.

The Data and Analytics Consultant assists clients in data-driven decision making, steering strategic initiatives and transforming data platforms across organizations to enhance business performance.

Support EHS analytics, systems stabilization, and enablement across enterprise platforms. Develop dashboards, validate analytics, translate operational needs into data requirements, partner with data engineering, and drive governance, adoption, and process standardization.

Support development, testing, implementation, documentation, and maintenance of database objects, basic ETL/SSIS processes, and SSRS/Power BI reports. Troubleshoot and document systems, assist migrations to web services/schedulers, contribute to POCs, and follow team development practices under senior supervision.

Mid-level analyst owning analytical projects end-to-end: build dashboards, reports, and data models; conduct structured analyses to surface insights; partner with Finance stakeholders; improve processes and automation; mentor junior analysts; and ensure data quality, documentation, and clear communication of findings to technical and non-technical audiences.

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.