Top Senior Data & Analytics Jobs in Minneapolis, MN

The Senior Data Engineer will manage Oracle Exadata Database Machines, ensuring operational availability, performance engineering, and automation, along with infrastructure architecture and lifecycle management.

The Senior Consultant, Data Analytics & Reporting is responsible for collecting, analyzing complex datasets, building reports and dashboards, and ensuring data quality while collaborating with teams to deliver insights and improvements.

The Data Analytics Team Lead will manage projects related to data infrastructure, governance, and analytics while overseeing a team and ensuring data accuracy and accessibility for the business.

The role involves leading data architecture strategies and driving innovation in data solutions while ensuring compliance with governance policies. Responsibilities include translating data requirements into technical plans, overseeing advanced data technologies, and fostering collaboration among stakeholders.

The Senior Analyst analyzes marketing performance, develops target segments, conducts data analysis, and creates reports to drive marketing strategies and business decisions.

As a Senior Data Engineer, you will build and maintain data pipelines, enhance analytics capabilities, manage data integration, and guide team members in transforming complex data into actionable insights.

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.

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.