Top Senior Data & Analytics Jobs in Minneapolis, MN

Lead a Planning & Analytics team for Midwest retail accounts (Target, Best Buy, Kohl's), deliver insights from POS and syndicated data, pressure-test forecasts, build dashboards, drive promotional and pricing analysis, collaborate with cross-functional teams, and present recommendations to senior leadership to grow market share.

The Senior Manager Data Scientist leads analytics teams, manages multi-functional projects, ensures data integrity, and collaborates with stakeholders to improve HEDIS/Star performance metrics.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

This role analyzes data and generates insights regarding law firm spending and performance. Responsibilities include reporting, stakeholder management, and process improvement.

The Principal Analyst in Commercial Operations leads sales analytics and process improvement, driving commercial excellence and collaboration to enhance revenue and customer engagement. Responsibilities include data analysis, defining growth targets, streamlining processes, and enabling the sales organization with necessary resources and technology.

The Principal Statistician leads statistical design and analysis for clinical studies, ensuring safety and efficacy of medical devices, while managing regulatory submissions.

Lead development of data science technologies for industrial adhesive and tape products. Build and optimize proof-of-concept algorithms, collaborate cross-functionally, and support full application life cycle from data preprocessing and model building to deployment. Apply ML, deep learning, NLP, and computer vision methods using Python.

This leadership role entails managing reserving and loss analytics, co-leading M&A integration, overseeing reserve adequacy, and providing insights to the executive team. It requires collaboration across departments to drive strategic initiatives and improve analytical tools.

Design, implement, administer, and tune complex databases; ensure availability, backup/recovery and security; perform data modeling and analysis; lead Jira and Confluence administration and integrations; support cross-functional teams and data governance.

The Analytics Manager leads analytics and business intelligence projects, mentors teams, collaborates with stakeholders, and drives data strategy for clients.