Top Data & Analytics Jobs in Minneapolis, MN

Lead design and maintenance of scalable data models, pipelines, and an enterprise semantic layer using Snowflake, DBT, Airflow, and Hackolade. Ensure data quality and governance, collaborate cross-functionally, and mentor junior analytics contributors to deliver production-grade datasets for BI, AI, and data products.

As an Analytics Supervisor, you will manage client analytics, providing insights and recommendations, mentor junior members, and ensure high-quality deliverables while utilizing Adobe Analytics.

Serve as a client-facing analytics partner for a major US retailer, delivering data-driven analyses and actionable insights using syndicated and retail data. Lead project scoping, multi-source integration, storytelling, and presentations while partnering cross-functionally to drive client outcomes.

The Research Intern will assist the research team in analyzing data, conducting literature reviews, and developing a research abstract for conference submission.

This role involves using data analytics to inform design strategies, creating visualizations, and collaborating with design teams for effective decision-making and client success.

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.

The Senior ETL Developer designs and implements ETL processes, maintains integration tools, supports applications, and guides junior developers. The role involves monitoring data flow and ensuring integration architecture meets organizational needs.

The Data Engineer will develop and maintain data pipelines, ensuring data accessibility and quality while collaborating with various teams. Responsibilities include architecting data solutions on GCP, managing ETL processes, establishing data governance, and building CI/CD pipelines for automation.

The Data Scientist Intern will assist with data analysis, model development, and generate insights for improving healthcare outcomes within a SaaS environment under guidance.