Top Data & Analytics Jobs in Minneapolis, MN

Responsible for establishing a Data Architecture practice, adopting methodologies, designing solutions, and collaborating with stakeholders. Coaches lower-level professionals and manages ideation, design, implementation, and compliance with IT standards.

The BI Analyst will create BI solutions, dashboards, and reports while managing data workflows, collaborating with stakeholders to translate business needs into actionable insights.

The People Insights Data Analyst will support HR reporting, data analysis, and the development of dashboards while ensuring data integrity and automation. This role involves collaboration with HR stakeholders and development of actionable insights.

As a Senior Data Analyst, you'll drive supply chain efficiency through data analytics, developing tools to optimize inventory, forecast demand, and support decision-making across operations.

The Data Engineer is responsible for designing and maintaining data architecture, implementing data pipelines, and collaborating with cross-functional teams to align data strategies with business needs.

Act as a liaison between business stakeholders and development teams on Agile projects, ensuring requirements are effectively communicated and met. Analyze data structures to align business needs with data requirements, and assist in project testing.

The role involves developing and designing SAP BW solutions, integrating BW with other modules, and providing technical support, while ensuring timely project completion according to client specifications.

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 IT Lead Analyst will lead data conversion strategies, manage data activities, ensure data quality, and document processes, while coordinating with teams for successful system implementations.

The Senior Data Scientist will develop analytical solutions using advanced statistical methods, manage datasets, support campaign executions, and communicate insights to business leaders, ensuring adherence to data governance standards.