ZipRecruiter

Log In

1

Python Data Analyst Jobs in Minnesota (NOW HIRING)

One Tech Engineering

Data Analyst

Minneapolis, MN · On-site

The Data Analyst will be supporting energy efficiency programs by ensuring data quality and ... Proficiency in SQL, Python, and Power BI. * Experience developing or working with data pipelines is ...

One Tech

Data Analyst

Minneapolis, MN

$73K - $78K/yr

The Data Analyst will be supporting energy efficiency programs by ensuring data quality and ... Proficiency in SQL, Python, and Power BI. Experience developing or working with data pipelines is ...

Tactile Medical

Data Analyst

New Brighton, MN

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

HealthPartners

Principal Data Analyst

Bloomington, MN · On-site

$50.32 - $75.48/hr

Experience using programming languages such as Python, R, or similar tools for data analysis and problem-solving. * Demonstrated experience and skill presenting findings and actionable ...

Mortenson

Data Analyst - Finance

Minneapolis, MN · On-site

Mortenson is currently seeking a Data Analyst - Finance who will be responsible for analyzing ... Python, or R • Experience with analytics and visualization tools, including those noted earlier ...

Mayo Clinic

Data Analyst

Rochester, MN · On-site

Applies machine learning, natural language processing, and programmatic analytics (e.g., Python ... Mayo data analysis and database systems experience is a plus. Familiarity with scorecards ...

Mayo Clinic

Data Analyst

Rochester, MN · On-site

Applies machine learning, natural language processing, and programmatic analytics (e.g., Python ... Mayo data analysis and database systems experience is a plus. Familiarity with scorecards ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Intermediately accomplished with Python or R * Knowledge of forecasting models including statistical analysis * Advanced data visualization skills; building interactive, executive ready dashboards in ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Intermediately accomplished with Python or R * Knowledge of forecasting models including statistical analysis * Advanced data visualization skills; building interactive, executive ready dashboards in ...

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

Sr. Data Analyst ABOUT THE COMPANY Crecera Brands is the driving force behind Sportsman's Guide ... This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

Sr. Data Analyst ABOUT THE COMPANY Crecera Brands is the driving force behind Sportsman's Guide ... This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau ...

next page

Showing results 1-20

All JobsPython Data Analyst JobsPython Data Analyst Jobs in Minnesota

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 28, 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.
More about Python Data Analyst jobs
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 are popular job titles related to Python Data Analyst jobs in Minnesota? For Python Data Analyst jobs in Minnesota, the most frequently searched job titles 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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Minnesota as of July 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.
Data Analyst

Data Analyst

One Tech Engineering

Minneapolis, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

One Tech Engineering is searching for a Data Analyst for a position located in Denver, Colorado, or Minneapolis, Minnesota. The Data Analyst will be supporting energy efficiency programs by ensuring data quality and supporting data governance practices.

The candidate must be a US citizen or hold a green card. The candidate should have at least 3 years of related experience.

Data Analyst Responsibilities:

  • Review and validate incoming data for accuracy and completeness.
  • Identify data gaps, inconsistencies, and issues within data pipelines.
  • Collaborate with IT to develop and implement data validation rules and resolve pipeline issues.
  • Build, maintain, and update data pipelines.
  • Develop and enhance Power BI dashboards and reporting tools.
  • Document data dictionaries, data flows, and validation rules.
  • Work with internal stakeholders to gather reporting requirements and understand business needs.
  • Translate complex data into clear, meaningful insights for business users.
  • Support self-service analytics and provide training to end users as needed.

Requirements of the Data Analyst:

  • 3+ years of related experience.
  • Strong interest in data analytics or data science.
  • Comfortable working with messy, incomplete, or undocumented data.
  • Proficiency in SQL, Python, and Power BI.
  • Experience developing or working with data pipelines is preferred.
  • Familiarity with Jira is a plus.
  • Experience with Databricks is a plus.