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

The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee global data privacy needs, ensure compliance with privacy regulations, lead legal activities related to Pendo’s privacy program, and provide counsel to various business units. The role requires collaboration with product and engineering teams, as well as training the legal department on data privacy regulations.

The Senior Compliance & Privacy Analyst will assess systems for FedRAMP compliance, manage continuous monitoring activities, maintain documentation, and collaborate with engineering teams to ensure compliance is met. Key responsibilities include vulnerability assessments, assisting in authorization packages, and developing Compliance Framework artifacts.

The Senior Sales Strategy Analyst at Elastic will be responsible for end-to-end strategy and operations for Elastic's Solutions Architect organization. This role involves collaborating with various departments to enhance programs, analyze data, drive growth, and support sales efficiency. The ideal candidate will have 6+ years of experience in Sales Operations, Strategy, or similar fields in SaaS organizations.

The Sr. Operations Research Analyst will support DoD projects by analyzing business requirements, preparing project documentation, and leveraging IT consulting practices to ensure successful outcomes. Experience with Navy IT projects is highly desired.

Seeking an experienced Research Scientist in Biophysics to develop and apply biophysical simulation techniques to generate actionable insights for drug discovery. Must have strong Python skills and a track record of innovation in simulation methods.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.