Top Analysis Reporting Jobs in Provo, UT

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.

Leads marketing performance measurement across paid media, CRM, web, SEO, owned, and offline channels. Ensures KPI reporting accuracy, develops dashboards, analyzes experiments and attribution, supports forecasting and ROI analysis, and translates marketing data into actionable recommendations. Partners with channel owners, Finance, and analytics teams to improve campaign performance, reporting standards, budgeting, and strategic decision-making. Presents insights to marketing leadership and manages reporting improvements in a fast-paced environment.

Data Engineer Interns will support analytics platform enhancements, data modeling, data exploration, pipeline maintenance, troubleshooting, optimization, documentation, and stakeholder collaboration. The role focuses on building data products, supporting AI-enabled analytics, and translating business needs into data requirements. Candidates should be enrolled in a quantitative degree program and have foundational knowledge of business intelligence, databases, data modeling, SQL, and data visualization.

Own the end-to-end architecture of Opiniion’s data platform, including ingestion, transformation, storage, semantic layers, governance, lineage, and quality. Partner with the Staff Software Architect on a new platform while evolving the existing foundation. Design data models and statistical insights, support BI and AI/ML use cases, guide platform investments, and mentor data engineers. The role is hands-on and requires strong Databricks, SQL, Python, distributed processing, cloud, and modern data architecture expertise.

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

The Senior Data Engineer will design and maintain data pipelines, manage a Snowflake environment, establish data quality, and lead data initiatives across teams, influencing company-wide technology decisions.

Designs and leads mixed-methods research and evaluation projects on missionary training and learning. Collects and analyzes quantitative and qualitative data, develops reports and dashboards, communicates findings to stakeholders, and manages multiple projects and research assistants to inform program improvement.

Own web analytics instrumentation across websites and applications using Google Tag Manager, GA4, and JavaScript dataLayers. Configure event and conversion tracking, debug implementations, build dashboards and reports, establish analytics standards, and translate business questions into measurable insights. Collaborate with marketing, product, and frontend engineering teams to improve data quality, reporting, and measurement strategy.

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.

Own creation and maintenance of product master data in Oracle Fusion PLM, manage approval workflows, resolve rejected submissions, and ensure approved data is released for downstream integration into SAP. Monitor SLAs and data quality, partner with stakeholders to resolve discrepancies, support issue resolution, and recommend process and governance improvements.