Top Analysis Reporting Jobs in Provo, UT

The Senior Product Analyst will analyze complex data sets to guide product strategies, support game teams, and drive game performance insights through collaboration and robust reporting on game features.

Lead the data governance team, develop data governance policies, ensure data quality, and collaborate with cross-functional teams to drive data initiatives.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

The Demand Planner manages sales forecasting and operational planning. Responsibilities include analyzing trends, partnering with cross-functional teams, and ensuring compliance with internal and external standards.

The Senior Credit Oversight Manager ensures credit policies are designed and implemented, validating models, conducting monthly loan performance monitoring, and communicating insights to leadership.

The PowerBI Reporting Analyst will develop and maintain interactive reports, collaborate with stakeholders to fulfill reporting needs, and ensure data integrity while staying updated on PowerBI advancements.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Head of Data Quality & Growth will own the quality and integrity of the company's food data, coordinate initiatives for data acquisition, and mobilize teams to fill gaps in data. This leadership role requires a blend of technical understanding and strategic oversight to enhance and maintain the company's comprehensive food database.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.