Data Analyst Jobs in Tempe, AZ

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Translate business requirements into data models, visualizations, and DAX measures; apply security and governance standards; validate data quality; create certified datasets and reusable templates; and collaborate with stakeholders to turn reporting insights into business decisions. The role also requires using AI tools and supporting peer reviews and self-service analytics.

Leads advanced data analysis projects, integrates and curates diverse datasets, develops automated reporting and dashboards, applies statistical and emerging AI-enabled analytics, and translates complex findings into actionable business recommendations. The role also mentors junior analysts, manages recurring reporting processes, validates analytical approaches, and supports strategic innovation initiatives.

Lead analytics engagements supporting digital products and client experience improvement. Translate business objectives into analytical approaches, manage and validate data assets, deliver insights and recommendations, visualize findings, measure feature and initiative impact, and improve reporting and measurement processes. Partner with product, technology, UX, and business stakeholders while mentoring peers and advancing analytics capabilities.

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.

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.

Collects, organizes, and validates telecommunications and technical data from multiple sources, inputs and reconciles records to meet quality standards, analyzes databases for consistency and patterns, performs data extraction and basic automation, generates reports, and mentors junior staff while adhering to security and ISO 9001:2015 procedures.