Top Data & Analytics Jobs in Provo, UT

Own web analytics instrumentation across websites and applications using Google Tag Manager, GA4, and JavaScript dataLayers. Configure event and conversion tracking, debug implementations, build dashboards and reports, establish analytics standards, and translate business questions into measurable insights. Collaborate with marketing, product, and frontend engineering teams to improve data quality, reporting, and measurement strategy.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

Partner with customers to design, build, and maintain custom Insights reports (ThoughtSpot-powered). Gather requirements, analyze datasets, recommend report structures, update documentation, and collaborate with Implementation, Customer Success, and Product teams to deliver accurate, timely BI configurations and advocate product improvements.

Provide product and commercial analytics to support GTM strategy, revenue reporting, ROI models, and packaging experiments. Build repeatable, documented BI assets and dashboards, automate commercial signals, and partner with Sales, Rev Ops, Product, and Customer Success to inform pricing, bundles, churn, and upsell decisions.

The Product Analyst will conduct data analysis, identify trends, and communicate insights to support product-driven decisions, ultimately driving revenue for partners.

Collects, analyzes, and interprets complex data to support business decisions. Develops databases, data systems, processes, models, algorithms, dashboards, reports, and visualizations. Collaborates with business stakeholders, data scientists, and IT teams to solve business problems using statistical methods. Keeps current with analytics tools, technologies, and industry trends.

Develop and maintain business intelligence solutions, dashboards, reports, data models, ETL processes, and data warehouses using tools such as Tableau, Power BI, and QlikView. Collaborate with business stakeholders, analysts, and IT teams to support decision-making. Ensure data quality, integrity, and security while staying current with emerging BI technologies and methodologies.

Designs, implements, maintains, secures, and optimizes database systems. Develops architectures, data models, and schemas; manages backup and recovery; troubleshoots corruption and performance issues; and collaborates with development, QA, and operations teams. The role also requires staying current with database technologies and best practices.

Conduct quantitative and qualitative research, analyze complex business scenarios, gather requirements, and synthesize stakeholder perspectives into actionable recommendations. Evaluate data using tools such as Excel or SQL, identify process improvements, and produce clear reports, memos, business cases, and documentation. Collaborate with stakeholders through written communication and contribute analytical content to help train AI systems.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.