Top Remote Data & Analytics Jobs in Salt Lake City, UT

As Senior Manager Market Research & Intelligence, lead market intelligence efforts, execute primary research, conduct competitive analysis, and synthesize insights to inform strategy, drive revenue, and improve sales effectiveness.

The Actuarial Analyst will assist in product development and profitability reviews, develop pricing models, and improve analytics capabilities.

The Data Analyst will develop insights and dashboards on customer behavior, collaborating with cross-functional teams to enhance product usage analytics and drive strategic improvements.

Manage healthcare decision support projects, oversee system design and client engagement, and provide strategic guidance to stakeholders. Lead teams and support business development efforts.

As a Staff Data Analyst, you will leverage extensive datasets to optimize AI products, inform data team strategy, and collaborate on data projects from ingestion to analysis.

Manage a team of data analysts and scientists focused on Circle's payments products and compliance efforts, ensuring data quality, impactful reporting, and cross-functional collaboration.

The Senior Clinical Data Manager will oversee clinical trial databases, ensuring adherence to timelines, quality of deliverables, and coordination among study teams. Responsibilities include database design, project oversight, training, and resolving data issues.

The Staff Data Analyst will facilitate data-driven decision-making, collaborate with various teams, build data solutions, and mentor team members to enhance analytics capabilities at Jellyfish.

Lead the Supply Intelligence function, driving strategy, execution, and partnerships to optimize auction performance and revenue growth while coaching a team of analysts.

The Senior Data Analyst will lead churn analysis and customer success metrics, providing insights to improve retention strategies and customer satisfaction. Responsibilities include conducting deep-dive analyses, working with cross-functional teams, and developing predictive frameworks.