Top Senior Data & Analytics Jobs in Provo, UT

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.

The Workday Integration Lead will design, implement, and manage integrations between Workday modules and other systems, ensuring data integrity and supporting operations.

Temporary 6-9 month Staff Data Analyst supporting eCommerce and marketing analytics. Lead data-driven projects, define and track metrics, analyze product and web data, build dashboards and automated reports, and provide insights for product teams and brand partners to improve user experience and business performance.

Lead product analytics initiatives to optimize product adoption and revenue growth while serving as a trusted thought partner to senior leaders.

Lead and grow an Operations Analytics team to provide KPI insights across Service, Sales, Collections, Banking, and Back Office. Build scalable reporting, financial models, ROI analyses, and tracking for operational improvements. Partner with Finance and senior leaders to prioritize transformation initiatives, ensure data governance, and measure realized financial and operational impact.

The Revenue Data & Insights Analyst role involves building and optimizing sales reporting, managing pipeline processes, providing actionable insights, and maintaining data quality to support sales strategy.

As a Lead Data Analyst, you'll lead complex analyses, manage client analytics partnerships, ensure data integrity and optimize SQL, while delivering actionable insights and influencing decision-making for stakeholders.

As a Senior Data Engineer, you'll design and implement ETL/ELT pipelines, write Python code for data processing, and optimize SQL models. You'll collaborate with teams and improve data architectures to support AI and marketplace strategies.

The Data Engineer will develop data platforms, manage ELT pipelines, ensure data quality, optimize Snowflake performance, and collaborate with various teams to support AI initiatives.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.