Top Analysis Reporting Jobs in Phoenix, AZ

Own business intelligence and strategic analytics for Avail by analyzing complex data, developing KPIs, building automated dashboards and reports, conducting market and performance analyses, and delivering insights for strategy, product, marketing, operations, forecasting, and revenue growth. The role partners with stakeholders and data engineering to create analytical data layers and self-service solutions that support data-driven decisions.

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Lead analytics work to develop, validate, and implement pricing loss assumptions for auto lending. Build and enhance statistical models, analyze large datasets, monitor portfolio loss performance, and provide actionable recommendations to Pricing, Risk, Finance, and senior leadership to optimize profitability and ensure regulatory compliance.

Develop and maintain scalable ELT/ETL pipelines using Snowflake, Dataiku, Databricks, SQL, and Python. Build finance data marts, automate workflows, enable Tableau analytics, and implement data quality, governance, monitoring, testing, and CI/CD practices. Partner with Finance, FP&A, and Accounting stakeholders to translate business requirements into reliable, auditable data products while modernizing manual processes and optimizing performance and cloud costs.

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.

Performs advanced analysis of financial, market, and portfolio data to improve risk, profitability, forecasting, and operational performance. Develops scalable reporting and analytics solutions, identifies trends, translates complex data into strategic recommendations, and leads performance reporting for senior management. Partners with Risk, Product, Operations, and other cross-functional teams on strategic initiatives. The role also evaluates fraud risk and develops mitigation strategies.

Analyzes, maps, tests, supports, and documents EDI trading-partner files and integrated data systems. Responsibilities include production support, SQL querying, API and transaction testing, defect resolution, monitoring, reporting, technical specifications, data mapping, requirements analysis, and project participation. The role requires real-time EDI 27X expertise, supports healthcare-related integrations, participates in on-call rotation, and may mentor junior analysts at higher levels.

Leads the design and maintenance of scalable data pipelines, ETL/ELT processes, enterprise data warehouses, and healthcare data integrations. Ensures data quality, governance, security, and performance while supporting analytics and operational workflows. Partners with clinical, operational, and technical stakeholders to deliver data solutions, resolve issues, document systems, and mentor junior team members.

Senior BI Engineer supporting Pharmacy Services Finance Intelligence by analyzing financial data, identifying trends and risks, and delivering decision-ready insights to CFO stakeholders. The role develops semantic-layer data sources, integrates disparate datasets, partners on analytics product delivery, improves solution quality and automation, explores AI-enabled analytics, and mentors junior analysts. Advanced SQL, analytics programming, visualization, statistical modeling, data engineering, communication, and large-scale analytics leadership are central to the position.