Top Senior Data & Analytics Jobs in Minneapolis, MN

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

Lead complex actuarial projects, develop analytics for medical cost forecasting, mentor actuarial students, and improve predictive models.

The Senior Data Analyst will develop BI solutions, improve data quality, oversee data integration, and support health analytics deliverables while leading junior analysts.

This role analyzes data and generates insights regarding law firm spending and performance. Responsibilities include reporting, stakeholder management, and process improvement.

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 Senior Data Analytics Reporting Analyst collaborates with teams to enhance analytical capabilities, manage investment data, develop models, and improve reporting and dashboards for investment oversight and decision-making.

The Senior Data Analytics Reporting Analyst collaborates with coverage analysts to develop analytical tools, manage data quality, and produce reports, driving process improvements and leveraging new technologies to enhance investment outcomes.

The role involves building and deploying data infrastructure for AI evaluation systems, establishing data governance standards, driving metric development, and collaborating with cross-functional teams to enhance AI product quality through analytics.

The Senior IT Business Analyst will define business requirements, manage scrum backlogs, collaborate with stakeholders, and analyze business needs within an Agile environment.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

As a Data Engineer II, you will design and operationalize complex data solutions, focusing on data transformation, governance, and collaboration across teams to enhance analytics capabilities.