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Python Data Analyst Jobs in Minnesota (NOW HIRING)

Variyasinc

Data Analyst

Virginia, MN · On-site

$60 - $80/hr

As a Data Analyst you will analyze large sets of data to identify trends and insights and design ... Work with various Python Integrated Development Environments like Legoland, Machine learning ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

Experience in R, Python, or similar scripting language * Experience with data visualization and ... Analytical * Technical Expertise * Detail Oriented * Research and Development * Team Leadership

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Experience in R, Python, or similar scripting language * Experience with data visualization and ... Analytical * Technical Expertise * Detail Oriented * Research and Development * Team Leadership

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Advanced proficiency with SQL, Excel, Python, and data visualization tools * Strong written, presentation, and interpersonal communication skills * Experience with predictive analytics or statistical ...

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Advanced proficiency with SQL, Excel, Python, and data visualization tools * Strong written, presentation, and interpersonal communication skills * Experience with predictive analytics or statistical ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

Proficient in SQL and Python for data analysis, transformation, and pipeline development. HOW WE INVEST IN YOU * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Minnesota

Python Data Analyst information

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$33.3K

$80.9K

$133.2K

How much do python data analyst jobs pay per year?

As of Sep 9, 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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For Python Data Analyst jobs in Minnesota, the most frequently searched job titles are:

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The top searched job categories for Python Data Analyst jobs in Minnesota are:

Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 10% Part Time, and 12% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Data Analyst

Virginia, MN • On-site

Variyasinc
See more jobs at Variyasincexternal

$60 - $80/hr

Other

Posted 8 days ago

Job description

Job Description

As a Data Analyst you will analyze large sets of data to identify trends and insights and design and implement data-driven solutions for an organization.

Responsibilities
  • Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
  • Work with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Work with various Python Integrated Development Environments like Legoland, Machine learning platform and Databricks.
  • Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
  • Write new functions or applications in programming languages to conduct analyses.
Skills and Requirements
  • Python, SQL, Google Cloud Platform Cloud, Pandas, Numpy, Pyspark, Power BI, data visualization tools, FLASK, DataBricks, NLP, Machine Learning, Data Mining, Statistical analysis and Data Modeling.
  • Work experience as a data analyst or in a related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Strong SQL or Excel skills, with aptitude for learning other analytics tools.
Education
  • Bachelor’s degree in Computer Science or Business Analytics or Bachelor of Engineering in relevant skills.
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