Top Data & Analytics Jobs in Minneapolis, MN

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

The Data Analyst II will analyze large data sets to provide insights for operations and product development, utilizing statistical methods and data tools to support business decisions.

The Sr. Business Analyst will lead finance projects, manage requirements, and ensure quality solutions in ERP implementations while liaising with business users.

The Senior Informatics Technical Specialist integrates software solutions with laboratory systems, ensures effective communication between instruments and systems, and provides consulting and ongoing support to enhance lab operations.

The Business System Analyst leads the analysis, design, and implementation of systems in Clinical Data Management, improves processes, and supports client areas. They manage projects, facilitate Agile processes, and document system details for training and turnover.

Support and administer Oracle databases, optimize data warehouse performance, and collaborate on data technology solutions within payment systems infrastructure.

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

The Analytics Engineer will design and maintain analytical data models, ensure data pipeline reliability, and collaborate with stakeholders to meet data needs. Responsibilities include data documentation, investigation of discrepancies, and contribution to AI data initiatives.

As a Data Engineer, you will build and deploy data infrastructure for AI products, focusing on analytics, quality measurement, and governance. You'll collaborate with cross-functional teams to create systems that enhance data evaluation and support decision-making processes.

The Manager of Marketing Mix Modeling will oversee MMM builds and integration, ensuring quality and strategic actionability of model outputs, guiding cross-functional teams in data-informed decisions.