Top Hybrid Data & Analytics Jobs in Minneapolis, MN
The Data Scientist at PwC collects domain context, defines hypothesis and prediction tasks, conducts experiments with algorithms, develops models, validates and tests models, produces automation pipelines, identifies insights, and communicates with stakeholders.
Looking for a talented and highly-motivated Investment Banking Analyst to support M&A transactions, financial modeling, and industry research. Must have 2-3 years of experience in investment banking, quantitative skills, and a willingness to work in a hybrid schedule in the Twin Cities office.
Manager, Business Intelligence Analytics III role at Chewy optimizing supply chain operations through data analysis and strategic insights. Lead a team in leveraging data to develop technology solutions and build the infrastructure for multi-year planning.
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Seeking an experienced thermal/fluids analyst to join our team in Minneapolis. Responsibilities include determining program analysis needs, working with senior analysts, and providing detailed results. Bachelor's degree in relevant field and 2 years of experience required. Knowledge of C++, Python, and Ansys preferred.
Senior Data Analyst role at Gravie, supporting analytics needs across the business. Responsibilities include developing analytics for various areas, performing ad hoc analyses, storytelling with data, and collaborating with teams to deliver results.
Seeking a Data Engineering Consultant to participate in the full life-cycle of development, extract and integrate data from multiple sources, assist with report development, and support business decisions with ad hoc analysis. Must have 5+ years of experience in data/software engineering, strong understanding of data modeling, data warehousing technologies, ETL processes, and Agile methodology. Excellent communication skills and ability to work in a fast-paced environment are required.
We are adding Data Engineers to influence the direction of data modernization for our customers. You will work closely with customers to manage, transfer, manipulate, or integrate data to ensure exceptional performance for their business. You will be part of a tight-knit technical community and have the opportunity to grow your development skills. SDG is looking for a hard worker with a team-oriented mindset and at least 3 years of experience in cloud data integration tools and cloud data warehousing.
The Senior Revenue Analyst will be responsible for reviewing sales arrangements, ensuring proper revenue recognition, and collaborating with various teams within the organization. Requires strong knowledge of revenue recognition standards and the ability to work in a fast-paced environment.
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