Top Analysis Reporting Jobs in Provo, UT

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.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

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.

Lead co-brand and lifecycle analytics to drive acquisition, retention, and portfolio profitability. Deliver end-to-end analytics (data mining, modeling, measurement), build decision/optimization frameworks, deploy dashboards, partner with marketing/GMs, design test-and-control strategies, and manage onshore/offshore analyst teams to inform channel, segmentation, and targeting 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.

Lead design, build, and support of enterprise reporting and analytic data models (conceptual, logical, physical). Own data warehouse/ODS development, ETL tuning, data governance, gap analysis, documentation, and performance optimization. Engage stakeholders, plan priorities, train teams, and drive automation and tooling adoption to improve reporting efficiency.

Lead teams to collect, organize, govern, and secure enterprise data and databases. Provide BI and strategic insights, administer and optimize server databases, manage replication, performance, backups, and recovery, create policies and documentation, support projects, estimate effort, and collaborate globally on database operations.