Top Business Intelligence Jobs in Provo, UT

The Sr. Manager of Business Intelligence drives analytic strategies in vehicle merchandising, collaborating across functions to deliver actionable insights through data analysis and reporting, using tools like MicroStrategy and Tableau.

Lead analytics for marketing and customer acquisition: build dashboards, design and evaluate A/B tests, monitor conversion funnels, develop multi-touch attribution reporting, migrate reports to new systems, combine structured and unstructured data, and partner across Marketing, Sales, Finance, Operations, Credit, and Technology to turn insights into automated actions.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

Analyze sales and operational data, develop and maintain reports and dashboards, conduct KPI analyses, validate data quality, partner with stakeholders for ad hoc requests, document reporting logic, and recommend report improvements to support product, marketing, operations, and client engagement decisions.

The Business Intelligence Manager leads BI teams, manages client relationships, enhances analytics platforms, and ensures data governance for optimized insights.

Manage the BI Data Solutions team to build and maintain data models and data lake feeds, coordinate with Product and Technology, scope and track JIRA work, support QC and troubleshooting, deliver BI requests, mentor staff, and ensure stakeholder communication and accountability.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

Support building and maintaining BI processes for data consumption and decision-making. Partner with IT and business stakeholders to design and optimize BI applications, define data filtering/indexing, create testing methodologies, develop training curricula, research new technologies, and develop business cases for BI solutions. Work on moderately complex assignments with guidance.

Design, build, and maintain Power BI dashboards for MSP and sales teams by cleaning and transforming data, developing data models and DAX measures, documenting reporting logic, supporting ad hoc analysis, and identifying automation and data-quality improvements.

Support GSI and alliances analytics by building Power BI dashboards, Salesforce reports, and data models. Clean and transform data, create DAX measures, and produce executive-ready insights to track partner pipeline, co-sell performance, and strategic partner impact.

Lead business intelligence analysis and reporting using SQL, Looker/LookML, and web analytics. Build dashboards, monitor data quality, provide insights and recommendations, mentor junior analysts, and partner with stakeholders and clients globally to solve complex business problems and support marketing/web analytics initiatives.

Design, develop and deliver analytics solutions by integrating large healthcare and external datasets, creating visualizations and models, and communicating insights and recommendations to stakeholders to inform strategic decisions.

As a Business Intelligence Analyst, you will drive analytics, optimize processes, and generate insights to enhance customer success, developing dashboards and predictive models while collaborating with leadership and cross-functional teams.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

Lead a small product/business analytics team to define and monitor KPIs, partner with product and engineering on experiments and measurement, analyze subscription engagement and retention, improve data collection and warehousing, and empower product teams with actionable insights to drive product decisions.

Design, build, and support enterprise BI solutions by aggregating data from multiple sources, developing reports and dashboards (Tableau, SSRS), writing SQL and ETL (SSIS), collaborating with stakeholders, supporting data modeling and governance, and ensuring data accuracy to inform business decisions—with emphasis on behavioral health and healthcare data.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

The role involves developing BI dashboards, analyzing supply chain KPIs, collaborating with teams for operational improvements, and ensuring data integrity.

Partner with Marketing stakeholders to define questions, build and maintain Tableau dashboards, run deep-dive analyses, forecast funnel and pipeline, and deliver clear data-driven recommendations to inform strategy and execution.

The Business Intelligence Analyst II role focuses on analyzing data, providing intelligence to business decision-makers, creating reports and dashboards, and ensuring data quality across departments. This position requires advanced analytics skills and expertise in data visualization tools.

Design and build dynamic, user-focused Power BI reports and dashboards. Integrate and analyze sales data using SQL/SQL Server, collaborate with senior leaders to translate requirements into actionable visualizations that drive strategic decisions.

Lead enterprise Power BI architecture and governance, design scalable semantic models and high-performance reports, enable self-service analytics, optimize large-dataset performance, and mentor analytics teams while aligning solutions with business requirements and data engineering.