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

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

The role involves analyzing health data, assisting in data extracts, collaborating with teams, and presenting findings to clients. Participants will develop skills in data and analytics within health care consulting.

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 Salesforce Business Analyst will support Salesforce capabilities through system support, data management, requirements gathering, and project work, collaborating with business teams and documenting processes.

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.