Top Analysis Reporting Jobs in Phoenix, AZ

Provides business intelligence supporting supply chain and materials management decisions. Develops reports, analytical tools, forecasts, and presentations using internal and external data. Researches industry trends, competitive positioning, financial performance, customer insights, and market risks. Documents business processes, promotes analytical methods, and creates training materials for business users and executives.

Designs and develops data engineering, business intelligence, ETL, datamart, and dashboard solutions using Cloudera, Tableau, Spark, and related technologies. Analyzes data quality and business metrics, builds data infrastructure and analytics tools, supports Data Science platforms, improves cluster computing, and collaborates with business and engineering teams. Provides training, mentors interns, and promotes secure, reliable data practices.

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.

Develop and maintain quantitative models for volume forecasting, capacity planning, workforce scheduling, scenario analysis, vendor modeling, and operational reporting. The role monitors model performance, ensures Model Risk Management compliance, standardizes model usage, and presents findings to executive leadership. It requires advanced analytical, simulation, optimization, database querying, and quantitative problem-solving skills, with preferred experience in banking analytics and statistical modeling.

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.

Maintains and analyzes customer, item, and coding data using Oracle systems. Organizes, validates, and prepares electronic data updates; investigates data issues, develops corrective solutions, assesses business impacts, and processes reports. Collaborates cross-functionally to support customer master and national coding initiatives, project planning, and execution while ensuring data integrity and customer-focused outcomes.

Analyzes and maintains customer, item, and configuration master data using Oracle and Microsoft tools. Organizes and validates files for electronic updates, investigates data and process issues, evaluates business impacts, prepares reports, and supports cross-functional projects. Collaborates with business teams to ensure data integrity, accurate national coding, efficient processes, and customer-focused solutions.

Analyzes enterprise fraud data across deposits, digital, payments, authentication, and account lifecycle domains. Evaluates fraud decisioning, alerts, losses, false positives, customer friction, queue performance, and operational efficiency. Develops measurement frameworks, dashboards, performance metrics, and executive insights; conducts root-cause and trend analysis; quantifies benefits, risks, costs, and tradeoffs; and partners with Fraud Strategy, Risk, Operations, Technology, and AI/ML teams to improve fraud controls and prioritize investments.

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.