Top Data & Analytics Jobs in Provo, UT

The UAT Lead is responsible for validating developed solutions in the Agile framework, collaborating with product teams to create test strategies, executing test plans, and facilitating alignment across project teams.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

As a Business Strategy Analyst, you will conduct market research, develop strategic plans, build financial models, and analyze data to support decision-making for manufacturing customers.

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.

The Product Analyst collaborates with cross-functional teams to develop and price personal lines property programs while analyzing data and financial results to ensure growth and profitability.

The People Data Analyst analyzes people and talent acquisition data to support HR initiatives, designs dashboards, and collaborates cross-functionally.

As a Senior Analytics Engineer, you'll transform complex data into reliable products using SQL and cloud-based warehouses, ensuring data quality and supporting analytics across the organization.

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

The role oversees analytics delivery for the AEO Credit Card Program, strategizing and executing initiatives that drive profitable growth, managing projects, coaching junior analysts, and fostering client relationships through data-driven insights.

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