Top Senior Level Analytics Jobs in Minneapolis, MN

As a Senior Revenue Technology Analyst at Invoca, you will manage and develop revenue technology for Sales and Marketing. This role involves project management, administration, and analysis. You will collaborate with teams, maintain Salesforce applications, drive process improvements, and support user training. The position requires expertise in the Salesforce ecosystem and a commitment to enhancing efficiency.

This is an invitation to join a talent community for Senior Operations Leaders at HelloFresh. Members receive updates on job openings, career tips, and events.

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.

As a Client Analytics Manager, you will manage client relationships to deliver private advertising solutions, conduct meetings and develop detailed configurations, oversee data integration processes, maintain client communication, create delivery reports, and collaborate with product management for improvements.

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.

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.