Top Analysis Reporting Jobs in Phoenix, AZ

Design, build, and optimize scalable data pipelines and models using Snowflake, SQL, Python, Kafka, dbt, and Argo. Support near-real-time integrations, CI/CD workflows, data quality, and performance; mentor engineers; partner with product and analysts to deliver production-ready, AI-enabled data solutions.

The role requires designing and implementing end-to-end data solutions and architectures, focusing on data transformations, integration, and BI analytics, particularly in the financial services industry.

The Senior Data Analyst provides support for data management functions, leads data analysis and reporting, and audits data feeds in a healthcare environment.

The Special Investigations Analyst conducts complex financial investigations, analyzes suspicious activities, produces reports, and collaborates with stakeholders and law enforcement while ensuring compliance with financial regulations.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

The Marketplace Analyst will optimize Amazon and third-party marketplace channels, focusing on catalog health, sales performance analysis, inventory coordination, and data reporting using Excel.

The Data and Analytics Consultant assists clients in data-driven decision making, steering strategic initiatives and transforming data platforms across organizations to enhance business performance.

Lead complex analytics projects supporting client experience transformation: gather and validate structured and unstructured data, apply advanced analytics and machine learning, produce executive visualizations and recommendations, manage recurring reporting, enforce data quality standards, and mentor other analysts to drive business decisions and improve client outcomes.

Support EHS analytics, systems stabilization, and enablement across enterprise platforms. Develop dashboards, validate analytics, translate operational needs into data requirements, partner with data engineering, and drive governance, adoption, and process standardization.

Design, build, and optimize scalable data platforms, pipelines, and lakehouse/warehouse solutions using Microsoft Fabric and Azure. Implement ETL/ELT, data migration from SQL Server, governance, CI/CD, streaming integrations, and Power BI connectivity to enable analytics and AI initiatives while ensuring security and performance.