Top Data & Analytics Jobs in Minneapolis, MN

Design, build, test, and operationalize complex data pipelines and ETL solutions using Databricks and AWS. Analyze source data, enforce data governance, security and quality, resolve defects, collaborate with stakeholders, and support AI/ML and BI use cases.

Design, develop, and maintain business intelligence solutions including reports, dashboards, ETL processes, and relational/dimensional data models. Translate stakeholder requirements into technical designs, support the system-wide reporting platform, and deliver timely, accurate analytic and reporting services.

Analyze business questions, build dashboards and reports, conduct impact analyses and simple deterministic models, collaborate with data engineers to augment datasets, develop documentation and low-code end-user applications, and present insights to stakeholders to support data-driven decisions.

The Data Architect will design and govern Tactile Medical's data ecosystem, establish enterprise standards, and collaborate with stakeholders to implement scalable data solutions.

The Analytics Engineer will design data models, maintain analytics pipelines, document data governance, and partner with stakeholders to address data needs.

Mobile Analyst role requiring 6+ years experience. Candidate must have strong SQL skills and experience with DOMO, Snowflake, and Adobe Analytics (or similar). Position is located in Shakopee, MN, 12+ month duration, and restricted to U.S. citizens/local candidates.

Analyze and optimize a consumer credit card portfolio through lifecycle analytics, marketing measurement, dashboard development, and cross-functional collaboration to drive acquisition, engagement, retention, and profitability.

Ensure organizational data assets are reliable, secure, and governed. Develop and maintain data catalog, glossaries, metadata, lineage and standards. Monitor data quality, perform analysis and remediation, assist stakeholders with data interpretation, and classify data per security guidelines.

Design, build, and maintain Power BI semantic models, dashboards, and KPI-driven reports. Translate business requirements into analytics solutions, create DAX calculations, validate and reconcile data, optimize performance, enforce dataset security, document metrics, and support BI governance and release processes in a regulated banking environment.

Design, build, and maintain enterprise BI solutions (dashboards, reports, data models) using Power BI and Domo. Write and optimize complex SQL for SQL Server and Snowflake, develop ETL/ELT pipelines, validate data quality, document lineage and logic, and leverage AI-powered analytics and agentic assistants to automate and accelerate reporting and insights delivery.