Top Data & Analytics Jobs in Minneapolis, MN

The Data Analyst will document business requirements, analyze data warehousing, and improve business processes. Experience in healthcare systems is a plus.

The Systems Applications Business Analyst gathers requirements, develops specs, leads application projects, and ensures IT solutions align with business goals.

The Senior Business Analyst will perform data mining and analysis, conduct root cause analysis, deliver test plans, and create application workflow models. Required to work with SQL and IBM technologies.

Lead and define architectural solutions for data pipelines, mentor teams, optimize ETL/ELT processes, and ensure data governance in a client-facing environment.

The Supply Chain and AI Innovation Analyst will design and implement analytics and AI solutions to improve operational efficiency and decision-making across the company, collaborating with various departments to enhance data visibility and system integration.

Lead multi-station audience research to support sales strategy: create and maintain program estimates, manage research systems, analyze linear and streaming audience trends, produce actionable reports and presentations, support sales and content teams, monitor competitive/viewing behavior, and develop monetization opportunities including sports and multiplatform campaigns.

Design, build, and maintain production ETL/ELT pipelines, analytics-ready data models, and cloud data infrastructure. Improve pipeline performance, data quality, governance, and migrate legacy systems to modern platforms. Collaborate with stakeholders to translate business requirements into reliable data products for project, financial, and operational analytics.

The Data Business Analyst will lead data integrity projects, manage cross-functional teams, ensure data accuracy in Salesforce, and deliver reports to stakeholders.

Builds and maintains global Workday HR reporting infrastructure. Gathers requirements, develops custom reports and calculated fields, configures dashboards and scheduled reports, tests and validates solutions, supports UAT, mentors team members, analyzes report performance, and delivers ad-hoc workforce insights to support HR and business decisions.

Lead enterprise Procure-to-Pay data initiatives, governance, and quality across Global Supply Management. Manage Data Analysts, analyze source systems (ERP, planning, WMS, shop floor), drive root-cause analysis, data migrations, validations, and process improvements to ensure accurate master and transactional data supporting planning, logistics, manufacturing, and digital transformation.