Top Senior Level Data & Analytics Jobs in Minneapolis, MN

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.

The Principal Compensation Analyst will lead the Total Rewards Center of Excellence, partnering with HR and business leaders to implement compensation processes. Responsibilities include overseeing executive compensation programs, conducting market analysis, managing equity plans, ensuring compliance, and advising executives on compensation matters, all aimed at enhancing team engagement and well-being.

The Revenue Cycle & Billing System Configuration Analyst at Natera supports insurance billing processes and system configuration, collaborates with cross-functional teams for process improvement, and assists in troubleshooting and training related to revenue cycle management.

The Senior Database Administrator and Performance Engineer will oversee the performance, availability, and restorability of database servers for SaaS applications in AWS. Responsibilities include monitoring transactions, optimizing indexes, troubleshooting performance issues, collaborating on database design, and ensuring data durability and integrity through effective backup and recovery processes.

The Senior Systems Analyst will optimize Vital Farms' Record to Report functions by planning, designing, implementing, and supporting related systems. Responsibilities include defining requirements, application configuration, user training, and enhancing business processes in collaboration with stakeholders.

As a Staff/Senior Staff Data Engineer at Valo Health, you will lead the development of complex data transformation initiatives, integrating real-world data into analysis-ready products, while collaborating with scientists and engineers. Responsibilities include building data pipelines, maintaining data quality, and providing technical leadership within the data engineering team.

The Sr. Data Scientist deploys data-driven explorations and predictive models to address business challenges, conducts experiments to refine product ideas, and maintains analytics models. This role also involves technical guidance in data science techniques to generate actionable insights and enhance the firm's analytics capabilities.