Top Data & Analytics Jobs in Phoenix, AZ

Leads enterprise internal fraud analytics, monitoring, and response initiatives. Uses SAS and SQL to analyze complex data, develop fraud rules, identify anomalous activity, and design proactive monitoring solutions. Partners with executives, risk teams, audit, and control functions to deliver defensible, well-governed analytics that reduce fraud risk and withstand regulatory scrutiny. Provides subject matter expertise, consultative guidance, and executive-level communication in an ambiguous, high-scrutiny environment.

Serve as the strategic analytics partner to GTM leadership, connecting Finance, Revenue Operations, Product, Growth, and sales leaders. Build trusted analytics infrastructure, define metrics and reporting, develop scenario models, and translate complex business decisions into executive recommendations. Own recurring business reviews and the end-to-end view of sales performance across routes to market, helping leaders evaluate product, pricing, compensation, organizational, and market changes.

Build and maintain reliable ELT/ETL pipelines using Snowflake, Dataiku, Databricks, SQL, and Python. Create finance data marts, automate workflows, enable Tableau analytics, and implement data quality, governance, monitoring, testing, and CI/CD practices. Partner with Finance, FP&A, Accounting, and business analysts to translate financial requirements into scalable, documented data products and modernize manual processes.

Designs, builds, optimizes, and supports scalable AWS-based data infrastructure, pipelines, data models, and ETL/ELT processes using Python, SQL, PySpark, Databricks, and Spark. The role supports analytics, reporting, and business intelligence through production monitoring, troubleshooting, testing, CI/CD, documentation, and cross-functional collaboration with BI, Product, Engineering, Data, and client-facing teams.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Provide accurate valuations and risk assessments for single-family homes using internal tools and pricing model outputs. Incorporate local market knowledge, collaborate with sales, homes, data science and engineering to improve pricing operations and ensure competitive, consistent offers.

Lead analytical work to monitor loan portfolio and originations, detect credit and underwriting issues, build multivariate statistical models, analyze funnels, quantify costs/benefits, present recommendations to executives, design monitoring and controls, and drive implementation using SQL, Python, Excel, AI tools, and financial/statistical techniques.

Build and maintain scalable data pipelines, integrations, and transformations in cloud-based environments. Translate stakeholder requirements into data engineering solutions, support data architecture and movement, document data assets, and improve data quality, performance, scalability, and automation. Collaborate cross-functionally to deliver data-driven outcomes and communicate technical findings through reports, presentations, and visualizations.

Evaluate claims operational and financial performance, identify trends and root causes, and deliver actionable insights for business decisions. Develop dashboards, scorecards, KPI reporting, and self-service analytics; apply statistical and hypothesis-driven analysis; communicate findings to executive, technical, and operational audiences; and collaborate with data engineering, analytics, actuarial, product, and claims leaders to improve data quality, governance, and reporting repeatability.

Build and maintain scalable data pipelines, integrations, transformations, and data solutions in cloud environments. Translate stakeholder needs into data engineering solutions, gather requirements, document data assets, support data architecture and integration, and improve data quality, performance, scalability, and automation. Collaborate with cross-functional teams and communicate technical findings to business and technical stakeholders.