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.

Develops and maintains advanced dashboards and reporting solutions, analyzes complex datasets, identifies trends and anomalies, and delivers actionable recommendations to stakeholders and senior management. Translates business questions into analytical tasks, ensures data accuracy through validation and quality checks, supports data governance, automates reporting processes, and collaborates with IT to improve data infrastructure and accessibility.

Designs, builds, tests, and deploys enterprise data engineering solutions using Azure services. Develops ETL pipelines, CI/CD workflows, tabular cubes, and Power BI integrations supporting regulatory reporting and analytics. Performs data profiling, troubleshoots files, APIs, orchestration, and platform issues, and collaborates with architects, product owners, and business stakeholders to improve data integrity and system reliability.

Develop and maintain volume forecasting, capacity planning, resource optimization, simulation, and predictive models for Global Operations. Partner with business units to validate model accuracy, present performance to executives, enhance modeling inputs and processes, and support Model Risk Management compliance. The role requires quantitative analysis, time-series modeling, optimization, statistical software, Excel, communication, and collaboration skills.

Design and implement data harmonization, ingestion, and visualization for enterprise marketing analytics using Salesforce Datorama (MCI). Build ETL/API integrations and data models, configure advanced metrics and dashboards, enforce data governance, and manage QA and release processes to ensure accurate, high-performance marketing insights.

Support execution and adoption of enterprise data governance standards by translating governance decisions into actionable plans, tracking work in JIRA, and delivering executive-ready metrics, dashboards, and scorecards. Perform fit-gap and readiness assessments, analyze complex datasets to surface risks and opportunities, and partner with domain, architecture, platform, and business teams to drive sustained governance adoption and measurable outcomes.