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

Design and maintain company-wide dashboards, define KPI frameworks, implement tracking and data governance, write advanced SQL, partner with product and engineering, build predictive/AI-ready data layers, automate reporting, and present insights to leadership to drive operational and financial improvements.

Serve as primary DBA SME bridging on-premises SQL Server to Microsoft Fabric. Design hybrid database architectures, implement cloud-based SQL services, establish Data Operations processes and SLAs, manage data integration, security controls, performance tuning, monitoring, and disaster recovery to support analytics and AI workloads.

Design conceptual, logical, and physical data models and data pipelines to enable analytics and BI. Collaborate with business stakeholders, data engineers, and data scientists to assess data quality, optimize batch and real-time processes, and promote data architecture best practices and governance.

The role oversees analytical characterization and comparability studies for biologics, ensuring regulatory compliance and leadership in product development.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

The Senior Clinical Database Programmer leads the design and development of case report forms and manages studies using clinical data management systems, ensuring compliance with standards and regulations.

The Director of Data Platforms & Governance will define the strategy and architecture for a data platform, lead the data platforms team, and ensure data governance and integration with enterprise systems.

The Data Engineer designs and operates data and machine-learning systems for HSA/FSA eligibility, building pipelines, models, and APIs to support decision-making at Flex.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.