Top Data & Analytics Jobs in Provo, UT

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Design and run ETL pipelines to extract, transform, validate, and load agency data from diverse source systems into AMS360 via APIs and direct loads. Build mapping and transformation logic, produce ID mapping tables, validate data quality, and collaborate with AMS360 admins to resolve issues throughout migrations.

Temporary 6-9 month Staff Data Analyst supporting eCommerce and marketing analytics. Lead data-driven projects, define and track metrics, analyze product and web data, build dashboards and automated reports, and provide insights for product teams and brand partners to improve user experience and business performance.

Lead product analytics initiatives to optimize product adoption and revenue growth while serving as a trusted thought partner to senior leaders.

The Workday Integration Lead will design, implement, and manage integrations between Workday modules and other systems, ensuring data integrity and supporting operations.

The Business Analyst translates business needs into system requirements, documents requirements, manages multiple projects, and conducts testing for system enhancements and maintenance.

The Senior Data Engineer will design and maintain data pipelines, manage a Snowflake environment, establish data quality, and lead data initiatives across teams, influencing company-wide technology decisions.

As a Senior Data Engineer, you'll design and implement ETL/ELT pipelines, write Python code for data processing, and optimize SQL models. You'll collaborate with teams and improve data architectures to support AI and marketplace strategies.