Top Data & Analytics Jobs in Minneapolis, MN

The role involves enhancing and maintaining an interagency data warehouse, managing data logistics, conducting data profiling, defining data linking rules, and developing database architecture.

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.

Serve as an analytics subject matter expert guiding internal and external clients through business strategy discussions. Conduct discovery meetings, identify data analytics opportunities, design analytic solutions and proposals, communicate solution designs, and implement Decision Sciences products and services. The role requires expertise in data analysis, statistical modeling, consulting, business insights, and client presentations.

Lead and grow customer analytics practice for Communications, Media & Technology clients. Define strategy, create thought leadership, communicate analytics value, and lead large-scale client engagements. Deliver customer analytics, CRM modeling, reporting, and predictive analytics solutions.

Develop predictive statistical models and reports using SAS Visual Statistics and Visual Analytics to identify member behavioral trends (e.g., readmission risk). Load and analyze data in LASR, communicate methods and results to executives and analysts, and work in a distributed Linux/UNIX environment within the health insurance domain.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Lead customer-facing analytics to turn multi-source data into actionable insights that drive growth and retention. Embed analytics in sales cycles, build dashboards and playbooks, translate business questions into solutions, capture customer needs, deliver trainings and demos, combine internal and industry signals to craft market perspectives, and engage with strategic customers and industry forums.

Design, develop, and maintain scalable data pipelines and ETL in Azure; ensure data quality, governance, and compliance; support Power BI analytics; troubleshoot pipeline performance; document architectures; and collaborate with BI and business stakeholders to translate requirements into technical solutions.

The Senior Oracle EBS Business Systems Analyst drives solution strategy for Oracle applications, optimizing capabilities for global business processes while delivering scalable solutions through collaboration and analysis.