Top Remote Senior Level Data & Analytics Jobs in Minneapolis, MN

The Data Steward role involves ensuring organized, robust data usage across the company, developing data governance policies, managing data catalog systems, and providing data insights training. It requires collaboration with various departments to optimize data access and compliance. The position calls for strong documentation skills and 5+ years of relevant experience in data management.

The Data Engineering Management Analyst will manage data migration, implement business management principles, and create ETL jobs using Azure Data Factory. Responsibilities include leading meetings, providing training, and contributing to business management and forecasting using advanced data techniques and tools such as PowerBI.

The Colleague Programmer/Analyst will collaborate with clients in higher education to develop integrations, customize and support their Colleague ERP instances, and ensure effective data reporting. Responsibilities include gathering requirements, developing specifications, managing technical projects, and assisting with systems integration and migrations.

The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.

The Manager of People Insights & Analytics will establish Stitch Fix’s listening strategy and create an integrated analytics roadmap. The role involves improving decision-making through data in collaboration with senior leaders while managing people analytics platforms and enhancing data literacy across the organization.

The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.

The Senior Analyst will enhance data-driven decision-making by analyzing complex datasets, collaborating with Product Managers, and providing actionable insights. Responsibilities include conducting research studies, performing advanced analytics using machine learning techniques, and communicating findings to stakeholders to guide strategic decisions.