Top Analysis Reporting Jobs in Phoenix, AZ

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 design, governance, and implementation of enterprise employee fraud detection rules and proactive monitoring. Use SAS and SQL to analyze large datasets, identify emerging fraud risks, recommend rule enhancements, and partner with Risk, Compliance, Audit, and Technology to ensure effective, defensible monitoring controls and audit readiness.

Develop and implement data solutions, pipelines, architectures, analytics, reports, and dashboards for clients. Apply Python, Java, ETL, business intelligence, and advanced analytics techniques to interpret complex data, improve operations, and support strategic decisions. Collaborate with stakeholders, manage client relationships, identify data challenges, and deliver high-quality managed services work while contributing to continuous process improvement.

Supports enterprise data initiatives through data quality checks, cleanup, documentation, dashboards, reporting, and prototype development. Learns data governance, security, cloud platforms, SAP, analytics tools, and system integration. Collaborates with senior IT leaders and cross-functional teams while developing foundational skills in Python, SQL, data preparation, cloud technologies, predictive analytics, and enterprise applications.

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.

Lead data governance and management initiatives: define and implement data quality, metadata, and lineage controls; translate governance strategy into measurable plans; partner with stakeholders to remediate issues, track metrics, and deliver outcomes; support modern data platforms and AI readiness; present results to senior leadership.

Lead enterprise forecasting, metrics, and performance measurement for Financial Advisor Services. Build and validate forecasting models, produce scenario analyses and executive-ready visualizations, set data quality standards, establish recurring reporting, and mentor analysts to drive strategic decision-making and resource allocation.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Analyzes supply chain, financial, customer, competitor, and business intelligence data to identify trends, opportunities, and operational improvements. Gathers and translates business requirements, performs statistical analysis, builds models, creates dashboards and reports, and communicates insights to stakeholders and senior management. The role also develops data collection templates, maintains process maps and requirements documentation, evaluates data quality, supports business intelligence standards, and delivers weekly reports covering sales orders, purchase orders, and inventory.

Supports healthcare consulting projects by analyzing Medicaid enrollment, claims, and encounter data. Assists with client deliverables, data aggregation and validation, modeling, dashboards, reports, and infographics. Manages timelines, communicates project status, participates in peer review, researches solutions, and works with actuaries and consulting teams on Medicaid Managed Care rate-setting and policy analytics.

Analyze complex business problems, gather and document requirements, decompose and optimize processes, lead UAT and prototype testing, identify automation opportunities, coordinate stakeholders and development teams, track KPIs, and support lightweight project management for multiple applications/projects.