Top Data & Analytics Jobs in Provo, UT

As an Associate SEO Specialist, you will execute SEO tactics, perform keyword research, optimize content, and collaborate with teams to support clients' strategic marketing strategies.

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

As a Target Digital Network Analyst, you will conduct data analysis, maintain databases, identify intelligence gaps, and collaborate with teams to generate insights and counter threats.

Collect, analyze, and interpret complex data; develop and maintain databases, data systems, and processes; create visualizations, reports, and dashboards; collaborate with stakeholders and data teams; develop data and statistical models to solve business problems and stay current with industry tools.

Analyze complex datasets, build predictive models, validate data quality, create visualizations, and collaborate with business stakeholders to drive data-driven growth and inform decisions.

Accurately enter, verify, maintain, and organize data in company systems. Perform data validation, quality control, reporting, and support data-related projects while collaborating with colleagues to resolve discrepancies.

Lead analyses to improve conversion and efficiency across the mortgage origination funnel; define success metrics, partner with Sales, Operations, Product and Engineering, produce actionable insights, and shape the analytics roadmap.

Support day-to-day reporting and analytics: respond to reporting requests, build and maintain dashboards in Sigma, create ad hoc reports, reconcile datasets, define metrics with stakeholders, document reporting logic, and assist on larger analysis and rollout efforts.

Develop and optimize data pipelines for reporting and advanced analytics. Ensure data quality and create real-time processing applications. Collaborate with DevSecOps teams and enhance data management procedures.

The Data Analyst III will manage complex data projects, provide advanced analytics, develop reports, and mentor junior analysts. Requires strong data visualization skills and communication with executives.

Lead analytics projects by designing datasets, writing advanced SQL, building dashboards (Tableau/Power BI), conducting statistical analyses and A/B tests, mentoring junior analysts, and partnering with cross-functional teams to drive data-informed decisions and improve member services.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.