Top Data & Analytics Jobs in Minneapolis, MN

As an Analytics Engineer, you'll design scalable data models, collaborate across teams to support internal analysis, and improve dbt implementation, ensuring data products drive business outcomes.

As an Analytics Engineer, you'll design scalable data models for internal analysis, collaborate on data projects, and support decision-making through data insights.

As an Analytics Engineer at Calm, you will design and develop scalable data models, collaborate with cross-functional teams, and utilize various analytical tools to support decision-making and drive business outcomes.

The Senior Model Risk Validation Specialist will lead model validation projects, ensure compliance with governance policies, and communicate with stakeholders while managing financial crime detection models.

The job involves leading model validations related to financial crimes, developing code, collaborating with stakeholders, and ensuring compliance with regulations.

The Lead Business Execution Consultant will oversee business operations, identify process improvements, lead cross-functional teams, and present recommendations for strategic initiatives, ensuring alignment with performance metrics.

Develop and implement innovative data solutions, mentor junior members, and build client relationships while navigating complex situations.

As a Director, you'll lead the development of data solutions using Palantir Foundry, mentoring teams and driving business growth through advanced data engineering.

The Sr. Director of AI & Data Science leads AI initiatives across the business, driving innovation, strategic decisions, and responsible practices while managing a significant budget and team.

Responsible for managing compliance data, developing reports, and ensuring compliance controls; involves collaboration with cross-functional teams and automation of reporting solutions.

The Sr. Analyst designs and manages merchandise planograms, ensuring alignment with category strategies and optimizing for in-store execution and performance analysis.

The intern will develop and maintain SQL and DAX queries, utilize SQL Server and Snowflake, implement ETL processes, and create data visualizations in Power BI. They will collaborate with teams to analyze data requirements and prepare analytical presentations.

The role involves leading actuarial analyses, producing reports, participating in strategic initiatives, and managing talent development. It requires strong quantitative and communication skills.

The role involves analytics leadership, developing actuarial assumptions, managing projects, and collaborating with various business functions to enhance the reserving process.

As a Data Engineer II, you will build and operationalize complex data solutions, perform data analysis, and collaborate across teams to enhance analytics capabilities.

The Prequalification Analyst administers the subcontractor prequalification process, ensuring compliance, reviewing financial statements, and collaborating with project teams in a fast-paced environment.

The Director of Marketing Analytics will lead a team to leverage data for business decisions, enhance marketing ROI, and improve client engagement through analytics.