Top Data & Analytics Jobs in Minneapolis, MN

The Business Analyst will analyze operational data, collaborate with multiple teams, monitor consumer experience, and deliver reports to improve performance.

The Reporting Analyst creates and builds reports, provides data-driven insights using AI/ML solutions, and supports cross-functional teams in improving operational performance and consumer experience.

The Analytic Consultant provides strategic analytics support to clients, analyzing health plan performance and communicating insights to stakeholders while serving as a subject matter expert.

The role involves analyzing technology recovery capabilities, supporting regulatory deliverables, managing complex initiatives, and ensuring compliance across business operations and risks.

This role analyzes data and generates insights regarding law firm spending and performance. Responsibilities include reporting, stakeholder management, and process improvement.

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 role involves leading data architecture initiatives, developing AI models, and collaborating with data scientists to optimize data solutions and drive strategic decision-making.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

As a Research Manager, you'll lead a research team, generate market reports, and provide strategic insights to influence decisions in commercial real estate.

The Data Engineer will build and operationalize data solutions, analyze data sources, ensure data governance and quality, and support analytics across teams.

As a Data Engineer, you will develop and optimize data solutions, manage data pipelines, and support analytics needs through collaboration and problem-solving.

The Director of Partner Integration manages data relationships with healthcare partners, leads a team of data engineers, and designs data pipelines for AI-driven workflows, focusing on client satisfaction and executive-level communication.

The Senior SAP Datasphere Engineer designs data pipelines, creates analytical models, optimizes data processes, and automates workflows in SAP environments while collaborating with business stakeholders and mentoring junior engineers.