Top Remote Data & Analytics Jobs in Ogden, UT

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

As a Senior Data Analyst, you will leverage data and visual analytics to design dashboards, collaborate with teams, and ensure data integrity while working on public-sector projects.

The Performance Management Analyst will provide insights through data analysis, support operational reporting, and collaborate with stakeholders in the healthcare field.

The BI Analyst will design and maintain analytics solutions, provide actionable insights, develop dashboards, and collaborate with data engineering to improve business decisions.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

The Data Analyst will conduct high-quality analyses using marketing and media data to measure TV campaign performance and provide actionable insights to clients. Responsibilities include validating data, translating findings, and creating visualizations to support decision-making in marketing effectiveness.

Lead Data Sciences and Analytics team in delivering insights for drug development. Manage clinical data, develop models, and ensure compliance. Collaborate with stakeholders to facilitate data integration and visualization.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

The Data Analyst will analyze healthcare data, develop reports and visualizations, and support analytics operations for pricing decisions.

The Principal Data Engineer will lead data governance, architecture, and team development to unify data across systems while ensuring quality and compliance. Responsibilities include building data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to drive data-driven insights and operational efficiencies.