Top Senior Data & Analytics Jobs in Phoenix, AZ

Lead data methodologies for Medicaid projects, ensuring compliance with HEDIS and CMS specifications, and mentor junior analysts while managing coding and analysis activities.

Lead data governance and stewardship for assigned domains: run governance councils, create SOPs, implement automated data quality controls, maintain metadata, drive data quality improvements, train junior stewards, and partner with business and engineering to resolve complex data issues and operationalize governance.

The Talend Developer will design and implement ETL processes, handle data integration for the Data Warehouse, and troubleshoot reporting issues.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Lead implementation of active portfolio management for US Wholesale & Specialty. Bridge analytics, underwriting, actuarial, and claims to deliver actionable insights, prioritize analytics projects, monitor performance, enable underwriting adoption, and drive pricing and portfolio improvements to optimize risk selection and reduce loss ratios.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.

The role requires designing and implementing end-to-end data solutions and architectures, focusing on data transformations, integration, and BI analytics, particularly in the financial services industry.

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 Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.