Top Remote Data & Analytics Jobs in Provo, UT

The Data Engineer III will design, develop, and maintain data solutions while collaborating with teams, ensuring compliance with standards and leading projects.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The role involves analyzing regulatory requirements, gathering business needs, creating system specifications, and facilitating communication between stakeholders in the Property & Casualty insurance sector.

Serve as a client-facing analytics partner for a major US retailer, delivering data-driven analyses and actionable insights using syndicated and retail data. Lead project scoping, multi-source integration, storytelling, and presentations while partnering cross-functionally to drive client outcomes.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Data Migration Engineer will design and execute SQL-based ETL processes for migrating public safety data, ensuring high-quality data integration and collaboration with internal and external teams.

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

The Senior Business Analyst collaborates with teams to transform data into actionable insights, leads projects, educates users, and recommends improvements across business processes using data analysis.

The Senior Enterprise Performance Analyst will develop dashboards, analyze performance data, support decision-making, mentor junior analysts, and improve organizational performance.

The Director of Data & Analytics Engineering will lead and build data platform teams, manage architecture and strategy for data systems, and integrate AI in workflows, ensuring reliable, agile data solutions meet business needs.