Top Analysis Reporting Jobs in Provo, UT

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Client Analyst will manage client-facing data and analytics requests, align objectives with campaign performance, provide insights, and optimize campaigns for key accounts.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The Vehicle Data Editor will manage automotive data entry, ensuring completeness and accuracy by researching and interpreting data from OEMs and assisting in data cleanup projects.

The role involves analyzing insurance classification frameworks, creating mapping documentation, and communicating classification rationale while working with stakeholders.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The Senior Product Analyst will lead analytics for the Growth & LTV team, focusing on account and program performance, designing experiments, and ensuring data-driven product decisions.

Seeking a Principal Solutions Specialist with deep expertise in RIA data management and client reporting, focusing on performance reporting workflows. The role includes collaborating with teams to enhance data capabilities and ensure accurate reporting across platforms.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.