Top Hybrid Data & Analytics Jobs in Minneapolis–Saint Paul, MN

The Principal Data Engineer will design, implement, and lead data solutions, working closely with teams using technologies like Azure Databricks and Kafka, mentoring junior engineers, and improving CI/CD and DataOps practices.

The Sr. Analyst will analyze planograms, manage sample requests, support category management with analytics, and leverage JDA/Blue Yonder for optimal merchandising.

As a Senior Associate in the Pricing team, you will design and integrate pricing applications, mentor junior associates, and ensure project quality while engaging with clients in complex revenue management scenarios.

The Data Analytics Team Lead will manage projects related to data infrastructure, governance, and analytics while overseeing a team and ensuring data accuracy and accessibility for the business.

The Associate Director develops and executes pricing strategies, analyzing market dynamics, leading pricing initiatives, and ensuring compliance in the pharmaceutical industry.

The Senior Data and Solutions Engineer develops data pipelines, manages analytics frameworks, and collaborates with stakeholders to improve data quality and reporting consistency.

The Lead Business Analyst will analyze, validate, and standardize complex Finance and Reporting business requirements, facilitating alignment across multiple teams and ensuring clarity for execution readiness.

Responsible for establishing a Data Architecture practice, adopting methodologies, designing solutions, and collaborating with stakeholders. Coaches lower-level professionals and manages ideation, design, implementation, and compliance with IT standards.

The Analytics Manager leads analytics and business intelligence projects, mentors teams, collaborates with stakeholders, and drives data strategy for clients.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.