Top Analysis Reporting Jobs in Provo, UT

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

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 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.

The Business Systems Data Architect will design data systems, ensure data quality across releases, and assess third-party data integrity to support business operations.

The Data Analyst supports teams in making strategic decisions using data. Responsibilities include data analysis, reporting, visualization, and improving processes for better business performance.

The Analytics Engineer will manage data transformation and modeling, ensuring data integrity for analysis and machine learning, collaborating across teams, and optimizing data processes.

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.

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

The Data Engineer is responsible for building ELT pipelines, migrating data to a new EDW, developing data observability processes, and collaborating with teams to ensure data requirements are met while improving data accessibility.