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

The Senior Consultant is responsible for data analysis, reporting, and visualization while collaborating across teams to ensure data integrity, accuracy, and actionable insights.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

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 role involves designing and optimizing data pipelines in Databricks, developing data assets, ensuring data quality, and collaborating with analytics teams to meet healthcare-related data needs.

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

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

As a Sr. Business Systems Analyst, you will enhance Salesforce and FinancialForce systems, manage business applications, and ensure SOX compliance while collaborating with cross-functional teams.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Credit Bureau Business Analyst will manage bureau relationships, analyze credit data, influence strategies, and improve outcomes collaboratively across teams.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.