Top Data & Analytics Jobs in Minneapolis, MN

The Senior Analyst, Compliance will support the execution of compliance projects, conduct audits, engage with stakeholders, and help manage regulatory remediation efforts within the financial services sector. Responsibilities include coordinating efforts with internal teams and external consultants, preparing project materials, and driving process improvements.

The Sales Data Analyst will analyze sales data, identify trends, and improve CRM data for better sales strategies. Responsibilities include developing complex Excel spreadsheets, utilizing SQL for data manipulation, and generating reports on sales performance indicators. Collaboration with cross-functional teams is essential for providing actionable insights.

This Information Systems Analyst role involves supporting local IT/Infrastructure at multiple sites, handling network and security appliances, resolving user issues, and participating in global IT projects. Responsibilities include managing local servers, Zoom/Video Conferencing, and participating in global initiatives. Required skills include expert knowledge of PC, with a focus on PC, Network, Storage, and Smartphone Lifecycle. The position is based in Hillsboro, Beaverton, USA.

The Senior Database Administrator and Performance Engineer will oversee the performance, availability, and restorability of database servers for SaaS applications in AWS. Responsibilities include monitoring transactions, optimizing indexes, troubleshooting performance issues, collaborating on database design, and ensuring data durability and integrity through effective backup and recovery processes.

The Senior Systems Analyst will optimize Vital Farms' Record to Report functions by planning, designing, implementing, and supporting related systems. Responsibilities include defining requirements, application configuration, user training, and enhancing business processes in collaboration with stakeholders.

The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.

The Sr. Data Scientist deploys data-driven explorations and predictive models to address business challenges, conducts experiments to refine product ideas, and maintains analytics models. This role also involves technical guidance in data science techniques to generate actionable insights and enhance the firm's analytics capabilities.