Top Data & Analytics Jobs in Ogden, UT

The Senior Value Attainment Analyst will analyze customer data to create ROI analyses that support renewals and expansions, ensuring accurate methodologies and compelling presentations for health system leadership.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

The Technical Project Manager ensures data quality across clinical and claims datasets, validating and reconciling data while partnering cross-functionally. Responsibilities include data analysis, maintenance, and supporting integrations with engineering.

The Director of Analytics and Performance will manage campaign analytics, provide insights and strategies for healthcare clients, and collaborate with internal teams and external agencies.

The Sr. BI & Measurement Strategist develops and maintains advanced measurement strategies including Media Mix Models, translating complex insights for executive stakeholders, and driving business performance through data storytelling and strategic recommendations.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

The Monetization Analyst will enhance team performance, drive efficiency across monetization, support, and online reputation, and implement AI-driven automation solutions.

The GIS Coordinator designs and maintains spatial systems for municipal clients, ensuring data integrity and integrating GIS with other government systems. Responsibilities include geospatial analytics, training users, and producing maps for decision-making.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.