Top Analysis Reporting Jobs in Provo, UT

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Leads and mentors data engineering teams while remaining hands-on with technical execution. Responsibilities include designing and operating large-scale data platforms, pipelines, integrations, APIs, streaming and batch processing, and high-volume analytics environments. The manager partners with Product and senior leadership on strategy, removes delivery roadblocks, recruits and develops talent, and advances engineering practices, reliability, security, compliance, and scalability. The role is remote within the United States with up to 10% travel.

Lead compliance analytics for BSA/AML and CRA: tune transaction monitoring and watchlist screening, build and streamline compliance reporting, support UAT, audits and regulatory exams, collaborate with Model Risk, Data Engineering and Technology, and prepare executive reporting.

Build and lead an applied analytics function that consolidates insurance data, creates trusted sources of truth, improves operational efficiency, and structures data for AI applications. The role owns solutions end to end across architecture, modeling, testing, governance, and production deployment using Snowflake and Azure. Initially hands-on, the leader will partner with Data Engineering and business teams, then hire and mentor data engineers, analytics engineers, and analysts while demonstrating measurable business impact.

Lead digital analytics and measurement strategy for web and mobile, design and implement scalable measurement solutions (Adobe stack), build data layers and event schemas, implement JavaScript-based tracking, ensure data quality, analyze A/B tests, and partner with Product, Engineering, Marketing, and Data teams to drive actionable insights and improvements.

Build, scale, and maintain data pipelines and transformation layers to ingest diverse sources, ensure data reliability and freshness, optimize data models and compute, create a semantic layer for self-service analytics, support BI reporting, collaborate with cross-functional leadership, and mentor analysts and scientists on engineering best practices.

Serve as the primary analytics lead for top clients, owning end-to-end reporting and complex claims analyses. Provide SQL mentorship, design scalable solutions with Data Engineering, manage roadmap in Jira/Confluence, deliver high-impact presentations, and lead rapid ad-hoc and audit analyses to inform clinical and financial decisions.