Top Senior 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.

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.

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.

Analyze complex business data to identify trends, risks, and opportunities; build Power BI dashboards, data models, predictive analytics, forecasting tools, and automated reports using SQL and Python. Support inventory optimization, supply-demand balancing, and aftermarket operations while partnering with planning, supply chain, finance, operations, and IT teams. Translate business needs into analytics solutions, present recommendations to stakeholders, and contribute to cross-functional process improvement and business intelligence initiatives.

Analyze healthcare, financial, and utilization data to identify inefficiencies and support data-driven decisions. Build models, tools, and operational dashboards; communicate insights clearly to technical and non-technical stakeholders; monitor initiative performance; and collaborate across teams to improve healthcare affordability and quality. The role also requires compliance with applicable laws and regulations and may support strategic projects.

Analyzes complex customer, operational, financial, and survey data to identify trends, drivers, risks, and opportunities. Manages the Voice of Customer program, conducts advanced statistical and quantitative analyses, validates data quality, and translates findings into actionable recommendations. Develops executive reporting, narratives, presentations, and visualizations, presents insights to senior leadership, manages vendor and program administration, and partners cross-functionally to improve customer experience, loyalty, retention, and business performance.

Provides advanced analytical support for academic, financial, and operational decision-making. Conducts research, predictive modeling, statistical analysis, trend analysis, financial forecasting, and data cleansing. Develops dashboards, visualizations, reports, presentations, and recommendations for stakeholders and university administration. Supports strategic planning, resource forecasting, enrollment and retention analysis, personnel metrics, space utilization, inventory assessment, and data sustainability. May eventually oversee and coach staff.

Leads business and data analytics for P&C digital experience transformation. Oversees data strategy, governance, analytics platforms, reporting, information delivery, and advanced AI-enabled solutions. Guides cross-functional teams, influences architecture and prioritization, develops strategic insights, manages risk, and delivers scalable data capabilities supporting member and insurance professional experiences.

Own Fullbay’s Snowflake data platform end to end, including dimensional modeling, certified metric definitions, semantic layers, identity resolution, transformations, governance, security, cost management, source ingestion, and AI-agent enablement. Build tested SQL and transformation code, establish company-wide data standards, document systems thoroughly, and direct an architecture consultant. Provide guidance for self-service data use while serving as the final authority on definitions, access, and platform design.