Data Analyst Jobs in Tempe, AZ

The role involves improving Credit Risk data quality and accessibility, collaborating with teams to define data requirements and support issue resolution.

The role focuses on enhancing operational and compliance risk data quality through governance, issue management, and data clarity while collaborating with various business functions.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Support performance and data reconciliation by resolving accounting and data issues, completing reconciliation breaks within SLAs, validating time- and money-weighted returns, monitoring data flows, investigating fee-billing abnormalities, documenting processes, and contributing to process improvements and root cause analysis.

The Senior Data Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data strategy.

Design, build, and maintain Operations data architecture and ingestion pipelines for Manufacturing, Quality, Logistics, and Supply Chain. Transform source systems into analytics-ready Snowflake datasets using dbt, Alteryx prototyping, and Azure data services. Ensure governance, testing, documentation, and production deployment; support automation and AI use cases; mentor junior analysts and collaborate with engineering and operations stakeholders.

The analyst will collaborate with teams to improve data quality and documentation for payments, wires, and lending processes in the financial group.

The analyst will implement data control structures, maintain governance frameworks, ensure data quality, support root cause analysis, and assist with reporting and documentation efforts.

The role involves improving the quality and accessibility of Liquidity Risk data, partnering with stakeholders, documenting data meanings, and supporting data quality management.

The Data Integration Analyst designs and supports ETL/data integration solutions, collaborates with stakeholders, troubleshoots issues, and maintains documentation while ensuring compliance and security.

The role involves managing financial risk data quality, ensuring compliance with business definitions, resolving data issues, and leading a small team.

As a Senior Data Analyst, you'll build data architecture in Snowflake, analyze business problems, collaborate with teams, and optimize datasets for analytics and production.