Data Science Analyst Jobs in Minnesota
Data Science Analyst jobs in Minnesota concentrate heavily in healthcare analytics, financial services, and retail technology, with the Twin Cities metro anchoring the largest share of openings and secondary demand in Rochester and Bloomington. Employers like UnitedHealth Group, Target, and Mayo Clinic maintain deep, ongoing data science teams and recruit across seniority levels from junior analysts to senior specialists. The most in-demand specialties are predictive modeling, healthcare outcomes analytics, and consumer behavior analysis. Find a role that fits below and apply directly.
Find Data Science Analyst JobsOverview
Showing 4 of 16+ Data Science Analyst jobs
Passionate people. Loyal clients. Leading solutions.
With a rich culture of creative collaboration and professional growth, IDeaS’ team members build successful careers with us.
IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we’re working, our teams come together to create leading revenue management solutions that accelerate our clients’ growth through revenue optimization.
Now we just need you!
IDeaS’ Internship Program provides students with real world experiences working on high visibility projects and challenging assignments. Our program facilitates opportunities to explore their field of study and make connections. Interns are a valuable part of our team – they do a lot of important work here and occasionally have some fun.
As an R&D Intern on the Research team, you will be working with a mentor from our Advanced Analytics Team on new product development. The analytics team combines members from our research, software development and testing departments in a small, fast, and adaptive team. You will help develop and deliver scientific and pragmatic solutions covering a wide range of revenue science topics including forecasting, pricing and optimization for emerging needs in the rapidly changing world.
We have exciting opportunities to work with our experts in the field of applying generative AI and machine learning techniques to existing revenue management problems. Projects typically involve many opportunities for research, data exploration, solution prototyping, software development and testing.
What you’ll be doing...
- Preparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions
- Communicating and presenting work to various audiences to explain functionality and/or benefit
- Producing required technical documentation
What you’ll bring to us…
- Enrolled in Bachelors, Masters, or Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics or a related quantitative field
- As part of Ph.D. program, experience conducting research is preferred
- Previous work in GenAI and machine learning is preferred
- Interest in revenue science, general forecasting and estimation concepts
- Excellent ability to identify and proactively solve problems (data modeling)
- Comfortable with one or more programming languages (Java, Python or SAS)
- Strong written, verbal, and interpersonal communications skills
- Programming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs
- AI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts
- Data Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks
- Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks
- Understanding of hospitality and revenue management principles
- Background in time-series forecasting or demand planning
- Familiarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash)
We Support Who You Are….
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you’re launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.
IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
#IDeaS
#LI-Hybrid
Passionate people. Loyal clients. Leading solutions.
With a rich culture of creative collaboration and professional growth, IDeaS’ team members build successful careers with us.
IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we’re working, our teams come together to create leading revenue management solutions that accelerate our clients’ growth through revenue optimization.
Now we just need you!
IDeaS’ Internship Program provides students with real world experiences working on high visibility projects and challenging assignments. Our program facilitates opportunities to explore their field of study and make connections. Interns are a valuable part of our team – they do a lot of important work here and occasionally have some fun.
As an R&D Intern on the Research team, you will be working with a mentor from our Advanced Analytics Team on new product development. The analytics team combines members from our research, software development and testing departments in a small, fast, and adaptive team. You will help develop and deliver scientific and pragmatic solutions covering a wide range of revenue science topics including forecasting, pricing and optimization for emerging needs in the rapidly changing world.
We have exciting opportunities to work with our experts in the field of applying generative AI and machine learning techniques to existing revenue management problems. Projects typically involve many opportunities for research, data exploration, solution prototyping, software development and testing.
What you’ll be doing...
- Preparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions
- Communicating and presenting work to various audiences to explain functionality and/or benefit
- Producing required technical documentation
What you’ll bring to us…
- Enrolled in Bachelors, Masters, or Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics or a related quantitative field
- As part of Ph.D. program, experience conducting research is preferred
- Previous work in GenAI and machine learning is preferred
- Interest in revenue science, general forecasting and estimation concepts
- Excellent ability to identify and proactively solve problems (data modeling)
- Comfortable with one or more programming languages (Java, Python or SAS)
- Strong written, verbal, and interpersonal communications skills
- Programming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs
- AI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts
- Data Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks
- Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks
- Understanding of hospitality and revenue management principles
- Background in time-series forecasting or demand planning
- Familiarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash)
We Support Who You Are….
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you’re launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.
IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
#IDeaS
#LI-Hybrid
See All 16 Data Science Analyst Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Science Analyst JobsData Science Analyst Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Science Analyst Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
What Minnesota Employers Look For
The qualifications that appear most often in data science analyst jobs across Minnesota.
- Bachelor's degree in data science, statistics, computer science, or a related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and analysis
- Experience with SQL and relational databases for querying large datasets
- Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or similar tools
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Data Science Analyst Jobs in Minnesota: Frequently Asked Questions
How do you become a data science analyst in Minnesota?
Data science analyst roles in Minnesota do not require a state-issued license, but employers consistently expect a bachelor's degree in a quantitative field such as statistics, mathematics, or computer science. Many Minnesota employers, particularly in healthcare and finance, favor candidates who also hold a master's degree or have completed a graduate certificate program. Building a portfolio of applied projects and gaining proficiency in Python, SQL, and a visualization tool strengthens candidacy significantly.
How much do data science analysts make in Minnesota?
Data science analysts in Minnesota earn a median of about $128,800 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,730 for the lowest 10% to over $179,640 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science analysts in Minnesota?
Employers hiring data science analysts in Minnesota right now include Mayo Clinic, University of Minnesota, and IDeaS, based on current listings on Migrate Mate as of October 2026. Minnesota's concentration of large healthcare systems, national retailers, and financial services firms means sustained, year-round demand rather than seasonal spikes.
Which Minnesota cities have the most data science analyst jobs?
Minneapolis, Rochester, and Saint Paul account for the most data science analyst openings in Minnesota. The Twin Cities metro drives the bulk of demand through corporate headquarters in retail, finance, and insurance, while Rochester's concentration is shaped almost entirely by Mayo Clinic and its affiliated research and health-technology partners.
Are there remote data science analyst jobs in Minnesota?
Yes, and more than most fields. About 88% of data science analyst openings tied to Minnesota are remote or hybrid as of October 2026, reflecting how thoroughly analytical and desk-based this work is. Modeling, reporting, and visualization work transfers well to remote arrangements, while roles that require close collaboration with embedded clinical or operations teams tend to expect at least a hybrid schedule.
How can I get hired as a data science analyst in Minnesota with little or no experience?
The most realistic entry path is a rotational analytics program or a junior data analyst role at one of Minnesota's large anchor employers. UnitedHealth Group and Target both run structured early-career analytics programs that accept candidates with strong academic records but limited professional experience. Adjacent roles such as business intelligence analyst, data coordinator, or reporting analyst at mid-size Minnesota healthcare systems or insurance carriers also serve as common stepping stones. A portfolio of applied projects and a relevant certification, such as a credential in Python or cloud data tools, gives candidates without formal experience a concrete advantage.
Where can I find and apply to data science analyst jobs in Minnesota?
You can find and apply to data science analyst jobs in Minnesota on Migrate Mate, which lists current Minnesota openings across industries and experience levels. Search the listings, find roles that match your background and goals, and apply directly to the ones that fit.
See All 16 Data Science Analyst Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Science Analyst Jobs