Top Data & Analytics Jobs in Minneapolis, MN
As a Sr. Configuration Management Analyst, you will support configuration management activities for complex defense systems, develop and execute management plans, ensure compliance with contracts, manage product data, and mentor others in configuration management processes.
The Investment Banking Analyst will support the investment banking team by executing M&A transactions, preparing financial documents, creating financial models, conducting company and industry research, and assisting with deal origination and evaluation.
As a Data Scientist II, you will contribute to the entire data science lifecycle, focusing on data acquisition, analysis, and model development. Your role includes conducting exploratory analyses, constructing features, and building machine learning models while collaborating with cross-functional teams to deliver data-driven insights.
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The Technical Business Analyst collaborates with Product Management to define requirements, document them as Business Requirements Documents (BRDs) or User Stories (US), and leads the creation of Test Plans. They analyze systems processes, drive awareness of requirements across business units, and ensure quality assurance in systems development while maintaining effective communication with stakeholders.
The Senior Architect will lead the development of Big Data strategies, focusing on DataBricks and designing data pipelines for analysis using modern tools. Responsibilities include data architecture, platform selection, providing data management expertise, guiding team members, and ensuring data integrity while collaborating with application owners.
The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
The Lead Data Analyst will focus on conducting complex data analyses within the Life Sciences Division, particularly using electronic medical records and claims data. Responsibilities include developing insights for strategic partnerships, predicting trends, and ensuring data integrity while collaborating with internal teams to enhance decision-making.
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
The Senior Technical Data Analyst will lead deep data analysis to identify trends and business opportunities, mentor junior analysts, develop data-driven solutions, and ensure data quality. Collaborating with cross-functional teams, the analyst will enhance GHX's data and analytics solutions, applying expertise in AI and machine learning when necessary.
The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
As a Senior Data Scientist at Webflow, you will analyze user engagement and define success metrics to drive product improvements, develop data pipelines, collaborate on growth opportunities, and enhance user experiences with actionable insights.
As a Sr. Analyst at CrowdStrike, you will focus on detecting, containing, and remediating cybersecurity incidents across various platforms, performing malware analysis, and providing recommendations based on your findings. You will also engage in incident handling and develop processes to enhance detection and responses to threats.
In this role, the Marketing Data Engineer will architect scalable ETL/ELT pipelines, manage cloud-based data warehouses, and develop data integration solutions. Responsibilities include collaborating with various teams to support analytics, ensure data quality, and optimize performance across data workflows.
The Commerce Analytics Specialist II will analyze customer and prospect data to identify improvements in the commerce business, developing strategies to optimize the demand funnel and enhance campaign performance. The role involves using analytical tools to extract insights, monitor program performance, and collaborate with stakeholders to execute effective go-to-market strategies.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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