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Summer Data Analytics Graduate Jobs in Minnesota

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/yr

... with analytics techniques to collect, explore, and extract insights from structured and ... graduate level semester hours in domain-relevant sciences or seven years or more of data science ...

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/yr

Provides advanced data insights for complex business problems that can be approached with analytics ... graduate level semester hours in domain-relevant sciences or seven years or more of data science ...

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/yr

Provides advanced data insights for complex business problems that can be approached with analytics ... graduate level semester hours in domain-relevant sciences or seven years or more of data science ...

Provides advanced data insights for complex business problems that can be approached with analytics ... graduate level semester hours in domain-relevant sciences or seven years or more of data science ...

Data Scientist

Minneapolis, MN · On-site

$97K - $138K/yr

... analytical concentration. * A minimum of 3 years working as a data scientist or application developer (2 years with MS or Ph.D). Relevant certifications can be considered in lieu of a post graduate ...

Data Scientist

Saint Paul, MN · On-site

$97K - $138K/yr

... analytical concentration. * A minimum of 3 years working as a data scientist or application developer (2 years with MS or Ph.D). Relevant certifications can be considered in lieu of a post graduate ...

Analytics Manager

Bloomington, MN · On-site

$108K - $190K/yr

S. degree 5-8+ years of relevant experience in analytics, data, consulting, or similar fields ... holidays Summer Fridays: early release at noon between Memorial Day and Labor Day (subject to ...

Analytics Manager

Bloomington, MN · On-site

$108K - $190K/yr

S. degree · 5-8+ years of relevant experience in analytics, data, consulting, or similar fields · ... · Summer Fridays: early release at noon between Memorial Day and Labor Day (subject to workload ...

S. degree 5-8+ years of relevant experience in analytics, data, consulting, or similar fields ... holidays Summer Fridays: early release at noon between Memorial Day and Labor Day (subject to ...

Analytics Manager

Bloomington, MN · On-site

$108K - $190K/yr

S. degree • 5-8+ years of relevant experience in analytics, data, consulting, or similar fields ... Summer Fridays: early release at noon between Memorial Day and Labor Day (subject to workload and ...

$119K - $143K/yr

Work cross-functionally with our customer, implementation, and analytics teams to make operational ... A multi-award winning office culture * 4+ weeks PTO, Summer PTO, and Unlimited Health & Wellness ...

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Summer Data Analytics Graduate information

What are Summer Data Analytics Graduates?

Summer Data Analytics Graduates are recent or soon-to-be graduates who participate in summer internship or training programs focused on data analytics. These roles typically involve working on data-driven projects, analyzing large datasets, and gaining hands-on experience with analytical tools and techniques. The purpose of these positions is to provide students or new graduates with practical exposure to real-world business challenges, often within a corporate or research environment. Participants develop skills in data analysis, visualization, and reporting, which can enhance their employability in the data science and analytics field.

What types of projects can a Summer Data Analytics Graduate expect to work on during their internship?

As a Summer Data Analytics Graduate, you can expect to work on a variety of projects involving data cleaning, analysis, and visualization. Typical assignments include assisting with the preparation of datasets, conducting exploratory data analysis, building dashboards, and supporting senior analysts with statistical modeling. You'll likely collaborate with cross-functional teams such as marketing, finance, or operations, contributing to real business cases and gaining exposure to industry-standard tools and methodologies. This hands-on experience is designed to help you develop both technical and communication skills valuable for a future career in analytics.

Is 30 too late for data science?

The Summer Data Analytics Graduate role is open to individuals of various ages, and age is not a barrier to entering data science. Many professionals transition into data science later in their careers by acquiring skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Age should not deter you from pursuing a career in data science if you have the interest and dedication to learn relevant skills.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the need for skilled analysts who bring domain expertise and critical thinking to data projects.

How to be a data analyst after graduation?

To become a data analyst after graduation, develop skills in data analysis tools such as Excel, SQL, and programming languages like Python or R. Gain experience through internships or projects, and consider earning certifications like Microsoft Data Analyst or Google Data Analytics to enhance your qualifications.

What jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Additional certifications in data management or programming can enhance job prospects.

What are the key skills and qualifications needed to thrive as a Summer Data Analytics Graduate, and why are they important?

To thrive as a Summer Data Analytics Graduate, you need a solid background in statistics, data analysis, and proficiency with spreadsheet and database tools, typically supported by ongoing or recent studies in a quantitative field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau, and knowledge of SQL are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you analyze data and present insights clearly to diverse audiences. These skills are crucial for delivering actionable findings and supporting data-driven decision-making in fast-paced project environments.
What are the most commonly searched types of Data Analytics Graduate jobs in Minnesota? The most popular types of Data Analytics Graduate jobs in Minnesota are:
What job categories do people searching Summer Data Analytics Graduate jobs in Minnesota look for? The top searched job categories for Summer Data Analytics Graduate jobs in Minnesota are:
What cities in Minnesota are hiring for Summer Data Analytics Graduate jobs? Cities in Minnesota with the most Summer Data Analytics Graduate job openings:
Infographic showing various Summer Data Analytics Graduate job openings in Minnesota as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Graduate Research & Data Analytics Assistant

1001 Sample Resumes

Minneapolis, MN

Full-time

Posted 8 days ago


Job description

An educational institution in Minneapolis is looking for a Graduate Research Assistant to manage extensive databases and assist in research projects. Responsibilities include preparing reports, conducting research, and obtaining informed consent from subjects. Candidates should hold a Master of Research and possess strong communication and analytical skills. This position provides an opportunity to hone research methodologies within a dynamic academic environment. #J-18808-Ljbffr