Top Senior Level Data & Analytics Jobs in Salt Lake City, UT

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.

The Sr. Compensation Analyst at GeneDx is responsible for designing and implementing compensation programs that align with organizational goals. Key duties include strategic development of compensation structures, collaborating with various departments for compensation guidance, conducting job evaluations, leading annual compensation reviews, and providing data-driven insights for program enhancements.

The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.

The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.