Top Data & Analytics Jobs in Minneapolis, MN

The Service Desk Analyst at Cyber Advisors will field incoming requests from clients, resolving common Tier 1-level issues and routing complex issues to the appropriate teams. Responsibilities include documenting requests, applying diagnostic utilities, and providing basic network support, as well as enhancing technical skills and client experience through engagement and training.

The Data Science Manager will lead and mentor a team of data scientists, develop and implement data science strategies, manage day-to-day operations, and ensure project delivery. They will conduct data analysis and modeling, communicate insights, and collaborate with various departments to drive business growth through data science initiatives.

The Data Analyst at Everlight Solar will design and maintain software applications, analyze large datasets, develop data collection systems, and provide insights through reporting and dashboards. They will collaborate with teams to enhance business operations and provide training on analytical tools and techniques.

The Quality Assurance Analyst will participate in reviewing business and functional requirements, prepare test plans, design test cases, execute tests, report statuses, troubleshoot failures, and log defects. They will also work collaboratively with teams while ensuring the delivery follows the required standards and processes.

The Product Growth Analyst will analyze data to find growth opportunities for Fetch Play, ideate new features, and conduct experiments to improve revenue and user engagement. This role collaborates with product, engineering, and marketing teams to develop and refine promotional strategies, optimize existing features, and manage the execution of experiments to enhance platform performance.

The Data Engineer at EverCommerce will be responsible for maintaining and scaling data operations, improving data infrastructure, and collaborating with the BI team to support analytics and decision-making across the organization. They will focus on ETL processes, data integrity, and documentation to drive operational effectiveness.

The Data Architect will develop datasets for data visualization and machine learning, automate pipelines for structured and unstructured data, and collaborate with teams to create data products. This role includes building ingestion pipelines, providing thought leadership, and ensuring project delivery from design to launch.