Top Data & Analytics Jobs in Minneapolis, MN
The Senior Analyst in Information Security will support the governance, risk management, and compliance frameworks of the organization. Responsibilities include conducting risk assessments, ensuring adherence to security policies, developing training programs, and monitoring compliance with regulations. The role emphasizes collaboration with various departments to foster a culture of security awareness.
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.
The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.
The Senior Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.
As a First Party Fraud Analyst I at USAA, you will analyze financial crimes, collaborate across teams, apply advanced analytical techniques, and communicate insights to influence business strategies. You will handle and integrate data from disparate sources, ensure compliance with risk management policies, and recommend thoughtful approaches to problem resolution.
As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.
The Principal Data Engineer will design and maintain ETL pipelines, collaborate with teams on data integration, implement data transformation logic, and ensure data quality. The role requires strong organizational skills, a focus on data governance, and experience working with large datasets and ETL technologies.
The Senior Analytics Engineer will drive data modeling, optimize analytics processes, and collaborate with cross-functional teams to enhance product operations at HubSpot. Responsibilities include managing high-value data assets, creating scalable data models, and defining standards for analytics practices.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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