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Python Data Analyst Jobs in Minnesota (NOW HIRING)

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

Data Analyst

New Brighton, MN ยท 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

Sr Data Analyst

Minneapolis, MN ยท 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 ...

Senior Data Analyst

Eden Prairie, MN ยท 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 ...

Sr Data Analyst

Minneapolis, MN ยท 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 ...

Senior Data Analyst

Eden Prairie, MN ยท 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 ...

Sr Data Analyst

Minneapolis, MN ยท 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 ...

Data Analyst Senior

Minneapolis, MN ยท 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 ...

Sr Data Analyst

Minneapolis, MN ยท Hybrid

$88K - $158K/yr

Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.) * Solid problem solving, analytical skills, data curiosity, data ...

Sr Data Analyst

Minneapolis, MN ยท On-site

$88K - $158K/yr

Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.) * Solid problem solving, analytical skills, data curiosity, data ...

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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 Aug 18, 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.

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Data Analyst/Python Programmer - Remote

SynergisticIT

Minneapolis, MN โ€ข On-site

Other

Posted 10 days ago


Job description

Entry-Level Data Analyst โ€” Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.