Top Data & Analytics Jobs in Provo, UT

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.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Design and maintain cloud data lake architecture, build ingestion and transformation pipelines from SaaS sources, enable analytics and BI (Tableau/Looker), enforce governance, and lead technical direction across teams.

As the Director of Global Support Analytics, you'll oversee analytics and process optimization to enhance customer support, integrating various data sources and establishing KPIs for operational excellence.

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

The Senior Business Analyst will provide data-driven insights to enhance the performance of the Support organization, focusing on analytics, dashboard creation, and operational improvements.

Design, build, and operate scalable batch and streaming data pipelines; partner with customer and product teams to implement health system integrations; improve monitoring, tooling, and data accessibility; serve as a dataset and tooling subject matter expert.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

Lead hands-on analytics, build and maintain ARR forecasting models and KPI dashboards, automate repeatable reporting, validate data sources with enterprise teams, and deliver ad hoc scenario analysis to support strategic decisions across Finance, Sales, Marketing, Customer Success, and Product.