Top Analysis Reporting Jobs in Salt Lake City, UT

The Senior Manager is responsible for global forecasting processes, enhancing predictive analytics, providing commercial insights, and improving revenue performance through data-driven decision support and collaboration with cross-functional teams.

The Director of Data & Analytics oversees enterprise data architecture, analytics capabilities, and governance during platform migrations, ensuring reporting continuity and performance transparency while leading data teams and cross-functional analytics support.

Responsible for translating marketing performance into business impact, providing insights for campaign metrics, monitoring channel performance, and collaborating with cross-functional teams to enhance business strategy.

The Data Engineering Lead will guide a team to build a scalable AI-ready data platform, focusing on data governance, pipeline reliability, and mentoring engineers to enhance data accessibility and usability.

The Data Infrastructure Engineer will build and operate data pipelines, a lakehouse architecture on AWS, and implement metadata management and governance for data analytics.

Support JDA/Blue Yonder WMS, configure systems for customer implementations, test new code, and collaborate with teams for operational improvements.

The Senior Analytics Engineer will establish analytical practices, scale data infrastructure, improve data models, and ensure data quality and governance across business units.

As a Data Architect, you will define and implement data architecture solutions, collaborate with stakeholders, and design data platforms and pipelines to enhance data management and analytics capabilities.

Lead data strategy at Alpha, oversee data functions, build robust data systems, drive product decisions using data insights, and mentor a data team.

The Principal Data Architect will lead the development of a data architecture strategy, ensuring data availability, consistency, and smooth integration for analytics across teams. This role requires collaboration with various stakeholders to establish standards, governance, and hands-on contributions to data modeling and platform improvements.