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

As a Salesforce and Gainsight Analyst, you will enhance customer experience through effective platform use. You'll optimize customer-centric solutions, streamline data flows for marketing, and collaborate with teams to develop strategies. Your role involves CRM strategy, configuration, data management, analytics, and providing user support for improved customer engagement.

As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.

The Data Analyst at Apiture will analyze complex datasets, develop predictive models, and derive insights to guide strategic decisions. This role involves collaboration with clients, data visualization, and operational support of data products while mentoring other analysts.

The Senior Applied Data Scientist will perform deep data analysis on false positives and negatives, provide insights for improving detection efficacy, train models for specialized attacks, recommend new feature groups, and collaborate on productionizing detection signals. The role involves monitoring and enhancing the performance of a message detection system.

Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders

The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.

The Principal Data Engineer will lead a Data Engineering team responsible for developing and implementing data solutions to enhance the company's data capabilities. This role includes designing and documenting software solutions, mentoring team members, and improving existing systems for increased efficiency and performance.