Data Analyst Jobs in Tempe, AZ

Perform data analysis and reporting to support health services decision-making, strategic planning, and process improvement. Collect, clean, transform, and secure PHI data; develop metrics, predictive models, and statistical reporting tools; audit data inputs; prepare reports and presentations for leadership; may supervise staff and contribute to long-range planning.

Partner with business leaders to own core metrics, reporting, and advanced analyses. Build and validate datasets, create executive visualizations, perform driver analysis, time-series forecasting, and apply AI/ML to inform growth and retention strategy. Lead projects, mentor analysts, and support recurring analytic processes.

Partner with business leaders to own core metrics, reporting, and deep-dive analyses. Build and validate complex datasets, perform driver analysis, time-series forecasting and ML solutions, create executive visualizations, manage recurring analytic processes, and mentor analytics teammates.

Support end-to-end deployment of actuarial pricing in Earnix, perform statistical modeling and data analysis, build dashboards and reports, validate and govern deployments, coordinate releases across environments, monitor production rating behavior, and present findings to stakeholders.

This role requires transforming complex data into actionable insights for senior leadership, utilizing tools like Tableau and SQL, and overseeing analytical projects.

Lead complex analytics projects supporting client experience transformation: gather and validate structured and unstructured data, apply advanced analytics and machine learning, produce executive visualizations and recommendations, manage recurring reporting, enforce data quality standards, and mentor other analysts to drive business decisions and improve client outcomes.

Lead end-to-end analytics for Flagship Client and Distribution: partner with stakeholders to frame problems, perform advanced analyses and machine learning, ensure data quality, develop recurring analytics products and executive visualizations, and mentor analysts to drive data-driven decisions.

Lead analytical work to monitor loan portfolio and originations, detect underwriting and quality issues, build multivariate models and diagnostics, analyze funnels, quantify costs/benefits, present recommendations to VP-level executives, and drive implementations to improve credit performance.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

The Senior Financial Analyst will support finance transformation, vendor management, and performance tracking, focusing on KPIs, reporting automation, and financial modeling.

Lead analytical projects with internal partners: gather and validate data, perform advanced analyses and statistical modeling, create visualizations and presentations, own recurring reports, mentor junior analysts, and support special projects.

The Senior Data Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data strategy.

Design, build, and maintain Operations data architecture and ingestion pipelines for Manufacturing, Quality, Logistics, and Supply Chain. Transform source systems into analytics-ready Snowflake datasets using dbt, Alteryx prototyping, and Azure data services. Ensure governance, testing, documentation, and production deployment; support automation and AI use cases; mentor junior analysts and collaborate with engineering and operations stakeholders.

The analyst will collaborate with teams to improve data quality and documentation for payments, wires, and lending processes in the financial group.