Top Data & Analytics Jobs in Minneapolis, MN

Lead design, development, and maintenance of enterprise logical and physical data models for commercial insurance operations. Implement governance, naming standards, OMG-based industry models, DDL generation, and collaborate with architects, business stakeholders, and compliance teams to support operational and analytical BI requirements.

As a Data Engineer I, you will design, build, and operationalize data solutions, manage data governance, and collaborate with teams to optimize analytics processes. Responsibilities include developing pipelines, troubleshooting issues, and mentoring team members.

The Data Quality Analyst ensures data integrity, accuracy, and consistency, conducts data audits, implements quality controls, and collaborates with stakeholders to improve data governance and reporting.

The Sr. Manager of Data Management leads governance and quality for Global Supply Chain data, managing a team of analysts and driving process improvements in data quality and governance across operations.

The Digital Business Analyst - Logistics role involves supporting logistics processes, analyzing data for improvements, and managing business projects within the IT and logistics spectrum.

The Senior Analyst leads digital experience optimization by analyzing data, developing strategies, supporting conversion rate improvements, and managing client relationships for better outcomes.

The Business System Analyst leads the analysis, design, and implementation of systems in Clinical Data Management, improves processes, and supports client areas. They manage projects, facilitate Agile processes, and document system details for training and turnover.

The Business Intelligence Analyst is responsible for data visualization, collaboration, and analysis using Power BI to support Ziegler's operations and customer service.

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

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.

The Senior FP&A Manager will guide strategic financial decision-making, create business cases, and benchmark operational performance while partnering with stakeholders across the organization.