Top Senior Data & Analytics Jobs in Minneapolis, MN

The Senior Analytics Assistant will improve processes, manage reports, conduct vendor performance analysis, and support team effectiveness in a hybrid role.

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.

Lead cross-functional initiatives for supplier data governance and management, ensuring data quality and compliance while enabling strategic decision-making across business functions.

The Global Customer Data Architect drives customer data governance, champions data management, collaborates with cross-functional teams, and ensures compliance with privacy regulations, enhancing data-driven decision-making across the organization.

Manage reserving and loss analytics in insurance by collaborating with underwriting and pricing, providing insights, and leading projects.

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.

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.

Design, implement, administer, and optimize complex databases across distributed and mainframe environments. Provide backup/recovery, replication, performance tuning, and incident root-cause analysis. Perform data modeling, analysis, governance, and metadata management. Serve as primary Jira and Confluence administrator, building workflows, automations, templates, and integrations while supporting cross-functional teams and documentation.

As a Senior Analyst, you will lead investment performance reporting initiatives, ensuring compliance, maintaining performance tools, and collaborating with various business units to enhance reporting capabilities.