Top Data & Analytics Jobs in Minneapolis, MN
The Solutions Architect role involves engaging with clients to understand their Data & Analytics needs, creating tailored proposals, and ensuring successful delivery of solutions. Responsibilities include client support, design documentation, sales planning, and developing partner relationships, along with contributing to intellectual property.
As a Principal Full Stack Engineer, you'll lead the design and integration of ad analytics and ad fraud products, manage the software development lifecycle, mentor junior engineers, and ensure best practices in a collaborative environment. You'll work with product teams to gather requirements, build scalable systems, and automate cloud infrastructure.
The Vulnerability Management Analyst will be responsible for conducting comprehensive vulnerability assessments, managing the vulnerability lifecycle, improving management coverage, and providing configuration support for ServiceNow Vulnerability Response. The role requires expertise in various tools and platforms, prioritizing vulnerabilities, and contributing to risk reduction efforts.
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As a Revenue Operations Analyst, you will optimize Go-To-Market processes, enhance data accuracy, and provide actionable insights for strategic decision-making. You'll collaborate with sales, marketing, and customer teams to improve revenue efforts, develop dashboards for KPIs, and support the implementation of scalable tools and technologies.
The Data Analyst will focus on gathering, cleaning, analyzing, visualizing, and presenting data to drive business insights. Responsibilities include collaborating with stakeholders, identifying data quality issues, and creating visualizations to communicate insights.
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As a Senior Analytics Engineer at Lob, you will design data pipelines, develop data models, and collaborate with various teams to deliver actionable insights. You will implement analytics best practices, mentor engineering colleagues, and advocate for data governance and quality metrics, while leveraging your experience in data visualization and analytics tools.
As a Senior Machine Learning Engineer, you will design, build, evaluate, and iterate on large scale machine learning systems, collaborating with cross-functional teams to enhance user experiences at Dropbox. Your work will directly impact the product and its millions of users, utilizing cutting-edge AI/ML advancements.
As a Staff Data Scientist at Kyruus Health, you will leverage advanced data science techniques to produce insights that help healthcare customers make crucial decisions. Your role includes identifying business opportunities, deploying machine learning models, collaborating with engineers, and promoting best practices within the data science team.
The Consumer Analyst at Mondelēz International will be responsible for analyzing consumer contact trends and providing reporting insights to key stakeholders. This includes managing consumer contact data, ensuring accuracy in reporting, forecasting contact volumes, and participating in global meetings for strategic improvements. The analyst will also handle product recalls and ensure training effectiveness for agents at the Contact Center.
The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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