Top Data & Analytics Jobs in Minneapolis, MN

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.

Lead analytics and operations initiatives: design end-to-end data solutions, build Power BI dashboards, embed AI and automation via Copilot and Power Platform, administer SharePoint and Smartsheet, drive cross-functional processes, and deliver scalable KPIs and reporting.

Lead client analytics engagements end-to-end, manage delivery timelines and economics, mentor data teams, design KPIs and business cases, translate complex data into actionable insights, implement cloud data platforms, BI, ETL and scripting solutions, and run workshops and knowledge transfer for non-technical stakeholders.

Lead the insights & analytics team to manage databases, standardize reporting, and deliver syndicated (Circana) insights and KPI dashboards to inform strategic planning, budgeting, and investment decisions across categories, channels, and customers.

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.

Manage creation, maintenance, and quality control of item master data in NetSuite. Coordinate with stakeholders, enforce SOPs and data security, identify cleansing opportunities, document processes, and support ERP updates and process improvements.

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 Sr. Business Analyst will lead finance projects, manage requirements, and ensure quality solutions in ERP implementations while liaising with business users.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

The Lead Data Engineer will architect and develop reporting solutions, integrate AI, analyze complex datasets, and mentor team members to enhance data-driven decision-making.