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Python Data Analyst Jobs in Minnesota (NOW HIRING)

Experience or proficiency with data analytics tools such as Microsoft Excel, Business Objects, Databricks, Python, Java, VBA, SQL, and PowerBI. * Strong organizational/time management skills with the ...

Experience or proficiency with data analytics tools such as Microsoft Excel, Business Objects, Databricks, Python, Java, VBA, SQL, and PowerBI. * Strong organizational/time management skills with the ...

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Python Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do python data analyst jobs pay per year?

As of Jul 8, 2026, the average yearly pay for python data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What are the most commonly searched types of Python Data Analyst jobs in Minnesota? The most popular types of Python Data Analyst jobs in Minnesota are:
What job categories do people searching Python Data Analyst jobs in Minnesota look for? The top searched job categories for Python Data Analyst jobs in Minnesota are:
Infographic showing various Python Data Analyst job openings in Minnesota as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.
Provider Audit Data Analyst - Remote

Provider Audit Data Analyst - Remote

UnitedHealth Group

Plymouth, MN • Hybrid

$60K - $107K/yr

Full-time

Retirement

Posted 26 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 880 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.  For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:

  • Data Analysis and Modeling: 
    • Apply advanced statistical and mathematical techniques to analyze complex datasets

    • Generate actionable insights and recommendations based on data analysis
  • Database Management: 
    • Design and implement efficient and scalable database architectures
    • Optimize database performance to ensure fast and reliable data retrieval
    • Develop and maintain data models, data dictionaries, and other documentation
    • Troubleshoot and resolve database-related issues
  • Data Extraction and Transformation: 
    • Extract, clean, and transform data from various sources for analysis
    • Ensure data integrity and quality through rigorous validation and testing
  • Data Visualization and Reporting: 
    • Create visually appealing and informative dashboards and reports
    • Present findings and insights to stakeholders in a clear and concise manner
  • Continuous Learning and Improvement: 
    • Stay up to date with the latest data analysis techniques and tools
    • Identify opportunities to improve data analysis processes and methodologies
    • Actively participate in knowledge sharing and mentoring within the team


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 3 years of experience in SQL and experience with relational database management systems (e.g., MySQL, Oracle, SQL Server)
  • Solid experience with Root Cause Analysis & Data Quality

Preferred Qualifications:

  • Coding skills, e.g., Python, R
  • Proven excellent problem-solving and critical thinking skills
  • Proven solid communication and presentation skills to effectively convey complex data analysis findings to both technical and non-technical stakeholders
  • Proven ability to work independently and collaboratively in a fast-paced, deadline-driven environment
  • Ability to be detail-oriented with a focus on accuracy and data integrity

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $60,200 - $107,400 annually based on full-time employment. We comply with all minimum wage laws as applicable.
 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.


UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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