Top Data & Analytics Jobs in Provo, UT

Provide reporting and analysis for Operations using Tableau and Snowflake. Develop and distribute executive reports, analyze supply chain data to recommend improvements, maintain BI reports, bridge IT and end users, support AI adoption in analytics, and respond to ad hoc data requests.

The Ecommerce Business Analyst gathers data, monitors website performance, creates dashboards, supports forecasting, and collaborates with cross-functional teams to drive business growth.

As a Senior Analytics Engineer, you'll transform complex data into reliable products using SQL and cloud-based warehouses, ensuring data quality and supporting analytics across the organization.

As a Senior Data Analyst for Fraud Strategy & Operations, you will analyze data to identify fraud trends, build predictive models, design fraud prevention rules, and collaborate with cross-functional teams to enhance fraud detection capabilities.

The Sr Credit Bureau/Testing Manager oversees a controls and testing program for accurate data reporting, compliance with regulations, and risk management in Credit Bureau reporting.

Design, build, and maintain scalable ELT/ETL data pipelines using dbt and Prefect; optimize Snowflake performance; implement data quality, security, and observability; collaborate with analysts and data scientists; document data flows and ensure reliable ingestion from external sources.

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

As the Client Insights Lead Analyst, you will create analytics strategies, lead data analysis, collaborate with teams, and communicate insights to clients effectively.

Own and improve the dbt modeling and semantic layers, implement CI/CD, tests, observability, and governance; build governed metrics for BI and AI consumption; partner with Data Engineering and Risk to stabilize pipelines and improve data quality and documentation.

Lead enterprise data strategy and governance engagements; advise C-suite clients; design governance frameworks (MDM, metadata, data quality, access controls); oversee delivery, mentor leaders, drive business development and thought leadership; align modern data stack to business outcomes.