Top Analysis Reporting Jobs in Provo, UT

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

As a Data Manager, you will oversee data management for clinical trials, ensuring quality outcomes, designing data capture tools, and collaborating on product development.

Lead the Insights and Analytics team at Antenna, define vision for data delivery, build scalable systems, mentor talent, and drive impactful analytics solutions.

As a Business Analyst, you'll collaborate with teams, improve methodologies, analyze markets, and create reports and presentations to enhance client satisfaction.

As a Data Analyst at Stripe, you will partner with teams to extract insights, build data pipelines, dashboards, and deliver business recommendations based on data analyses.

The Director will lead corporate GAAP reporting, manage the reporting team, implement Workday Financials, and oversee compliance with GAAP standards.

The role involves migrating client data from various platforms to Salesforce and Envestnet, ensuring data integrity and accurate reporting.

As a Senior Specialist in Data Analytics, you'll conduct high-quality data analyses and reporting, using SQL and analytics tools to support media decision-making for clients.

The Director of BI & Analytics will lead data architecture, build a data lake, manage ELT/ETL pipelines, and develop enterprise reporting and models, partnering across functions to drive commercial analytics and insights.

Lead a Lab Data Engineering team to deliver analytics and reporting solutions supporting lab operations, mentoring junior analysts and driving data strategy.

The Business Intelligence Analyst III will enhance data accessibility and literacy within Commercial Operations by leading data modeling, reporting, and training initiatives. This mid-level role requires collaboration with technical teams and stakeholders to drive data-driven decision-making.

Analyze fraud trends, develop fraud strategies, monitor performance, and collaborate with teams to optimize fraud detection capabilities while balancing risk with customer experience.