Top Analysis Reporting Jobs in Phoenix, AZ

Develop and maintain Big Data applications using Java/Spring and Python on MapR HDFS with MapReduce, Pig, and Hive. Design NoSQL data models in HBase, participate in SDLC activities, configuration management, code reviews, and collaborate with offshore teams. Apply credit risk/fraud/payments domain knowledge and use tools like Jira, Maven, and SOAP UI.

The Senior Business Reporting Analyst will enhance reporting processes for Credit and Energy Risk, ensure data quality, and automate reporting functions. Key responsibilities include analyzing data from various sources, creating dashboards, and reporting to stakeholders.

The data scientist will contribute to molecular biomarker research, develop reproducible data science pipelines, and communicate insights to stakeholders.

Design, validate, and optimize fraud detection strategies for digital products (Zelle, Wires, BillPay). Perform complex analysis using SAS/SQL/Excel, track strategy performance, run defect reviews, develop fraud variables, produce reports for senior management, and partner with claims, policy, product, and engineering teams to implement mitigations and project-manage strategy requirements and testing.

Lead design and implementation of an enterprise data platform covering ingestion, storage, processing, governance, and consumption. Define standards for data modeling, lakehouse/warehouse/streaming patterns, security, lineage/catalog integration, cost and DR strategies, and mentor engineers while partnering with ML/BI/product teams to ensure scalable, reliable data products.

Support sales and CPG category teams by analyzing retailer POS and syndicated data (Circana/IRI, NielsenIQ) to evaluate item performance, assortment planning, and store clustering. Produce insights, presentations, and recommendations; collaborate with clients and internal teams to drive category strategies and execute space/assortment initiatives.

Perform retail category analysis using POS and syndicated data (NielsenIQ/Circana) to evaluate item performance, assortment, and store clustering. Produce insights, presentations, and recommendations, collaborate with CPG Category Management and Space Technology teams, and communicate with clients to drive category actions.

Lead definition and research of member lifecycle stages, synthesize multi-source data to map journeys, set KPIs, track cohorts/LTV/churn, analyze P&L drivers, influence business strategy, run A/B or multivariate tests, and guide team members while collaborating with stakeholders across product, pricing, marketing, risk, and member experience.

Design and optimize enterprise-scale data pipelines in Microsoft Fabric, migrate on-prem relational data to OneLake, build streaming ingestion, implement lakehouse/warehouse patterns, ensure performance and governance, support RAG/vector search workflows, maintain Power BI reporting, drive CI/CD, and mentor junior engineers.

Lead Ab Initio ETL development: design and script Ab Initio graphs, work with Unix shell, ingest diverse sources (flat files, mainframe), identify performance bottlenecks, model data, liaise with clients, and deliver artifacts. Requires 5+ years Ab Initio and data warehousing experience.