Top Senior Data & Analytics Jobs in Phoenix, AZ

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.

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.

Analyzes complex data to identify fraud trends and develops, tests, implements, and optimizes fraud rule strategies for new account originations. Evaluates rule performance, thresholds, segmentation, and treatment strategies; conducts champion/challenger testing; and delivers actionable recommendations. Collaborates with operations, technology, risk management, and compliance teams to improve fraud detection while balancing mitigation, customer experience, false positives, and operational efficiency.

Leads fleet modernization and operations technology initiatives by translating business requirements into scalable IT solutions. Develops process flows, data models, reporting metrics, technical specifications, dashboards, and test scripts. Uses SQL and analytical tools to extract warehouse data, monitor KPIs, identify trends, forecast impacts, and recommend process improvements. Partners with architecture, development, and IT leadership to support implementation timelines and improve reporting quality and data integrity.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.