Top Data & Analytics Jobs in Minneapolis, MN

Analyze healthcare data to identify cost management opportunities, develop metrics, and create financial models to improve patient care. Collaborate with stakeholders and ensure statistical integrity in methodologies.

Design and maintain data pipelines and models, optimize data processing on cloud platforms, and enforce data governance while collaborating with various stakeholders.

The role involves designing and optimizing data pipelines in Databricks, developing data assets, ensuring data quality, and collaborating with analytics teams to meet healthcare-related data needs.

The Sr. Consultant, Data Governance ensures proper governance of Cargill's data assets through policy development, compliance, risk management, and training programs to enhance data value and reliability.

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 Associate Weather Risk Analyst delivers weather analysis and forecasts through detailed text and graphics, collaborating with teams to maintain product quality and accuracy.

The Manager - Reporting and Analytics will oversee financial reporting, predictive analytics, and team leadership to enhance data-driven decision-making within the Finance organization.

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.

Lead global analytics teams and deliver enterprise data, analytics, and AI initiatives. Drive program delivery, stakeholder partnership, platform oversight (Snowflake/Databricks), governance, regulatory compliance, and measure business impact.

Serve as an analytics subject-matter expert, lead discovery with clients, design analytic solutions and proposals, communicate designs to stakeholders and analysts, and implement Decision Sciences products and services.

Maintain and validate scientific product data across multiple systems, troubleshoot data/workflow issues, build SQL queries and Power BI reports, automate data processes, perform multilayered QA, and collaborate with cross-functional stakeholders to ensure data integrity and support product releases.

The Sr Mgr, Value Based Outcomes Analytics leads analytical initiatives to develop value-based contracting strategies, interprets data, and generates reports while liaising with internal and external stakeholders.