Top Analysis Reporting Jobs in Provo, UT

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.

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.

Analyze sales, marketing, and revenue operations data to uncover insights and improve go-to-market strategies. Collaborate with Sales, Data Science, Marketing, and Finance teams; build scalable reporting tools; and present strategic recommendations to executive leadership. The role requires SQL-based analysis, strong data management, proactive ownership, and interest in ecommerce marketplaces. Successful interns may be considered for full-time employment.

Leads marketing science and commercial analytics initiatives, including Power BI dashboards, data modeling, marketing effectiveness measurement, segmentation, ROI and incrementality analysis, and strategic reporting. Partners with Data Engineering and IT teams to build scalable Snowflake and Power BI solutions, identify growth opportunities, support business planning, and manage multiple analytics projects and stakeholder expectations.

Build and maintain dbt models and data pipelines feeding Snowflake from agency, CRM, HR, finance, and other sources. Onboard data sources, improve testing and observability, troubleshoot nightly runs, optimize Snowflake performance and costs, and contribute to governance controls. Develop backend data layers for internal applications, support CI pipelines, and collaborate with analysts and business stakeholders to deliver reliable, documented data models.

Own the end-to-end architecture of Opiniion’s data platform, including ingestion, transformation, storage, modeling, governance, semantic layers, and BI/AI enablement. Partner with software architecture leadership on a new platform, guide migration decisions, establish data quality and lineage practices, design statistical models, and mentor data engineers. The role requires hands-on expertise with Databricks, modern data modeling, ETL/ELT orchestration, distributed processing, cloud infrastructure, and AI/ML data readiness.

Designs and builds scalable batch and real-time data pipelines, ingestion workflows, analytical systems, data products, and intelligent APIs. Ensures data quality, reliability, and performance while supporting cloud-based data architecture for BI and AI/ML use cases. Collaborates with cross-functional teams, participates in code reviews, and follows DevOps and CI/CD practices using Databricks, Spark, Python, SQL, and Azure services.

Build and maintain a governed analytics platform in Snowflake using dbt, including dimensional models, data transformations, tests, contracts, semantic layers, and migrated reporting. Integrate diverse operational sources, ensure data quality, document models, and collaborate through GitHub pull requests. Use AI coding tools responsibly while validating correctness, performance, and maintainability.

Owns end-to-end customer data conversions into a dental practice management platform. Responsibilities include extracting, profiling, mapping, cleaning, transforming, loading, and validating legacy data using SQL, Excel, and conversion tools. The role manages timelines, customer approvals, quality assurance, troubleshooting, documentation, and production go-lives while collaborating with implementation and support teams.

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.