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Python Data Analyst Jobs in Minnesota (NOW HIRING)

Emergent Software

Data Analyst

Maple Plain, MN · On-site

$45 - $55/hr

Our client is seeking a detail-oriented data analytics contractor to support business-critical BI ... Familiarity with tools such as DAX, Python, dbt, LookML, SSRS, and Snowflake * Familiarity with ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

Gravie

Data Analyst

Minneapolis, MN · On-site

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

THOMSON REUTERS

Data Analyst, Government

Eagan, MN · Hybrid

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and ... Python, SQL, SAP, and Business Objects #LI-ES1 What's in it For You? * Hybrid Work Model: We've ...

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 ...

Thomson Reuters

Data Analyst, Government

Eagan, MN · On-site

Data Analyst, Government Are you ready to unlock the power of data to drive business growth and ... Python, SQL, SAP, and Business Objects #LI-ES1 What's in it For You? * Hybrid Work Model: We've ...

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 ...

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 ...

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 ...

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$89K - $113K/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 ...

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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 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.
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 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.
Data Analyst

Data Analyst

Emergent Software

Maple Plain, MN • On-site

$45 - $55/hr

Contractor

Posted 14 days ago

Job description

**This is a 12-month contract role working onsite 4 days/week in the West Minneapolis area. Applicants must be authorized to work in the U.S. without sponsorship.**
Our client is seeking a detail-oriented data analytics contractor to support business-critical BI reporting and analytics initiatives. This role partners closely with technology and business stakeholders to build dashboards, deliver insights, and enhance data capabilities.
Primary Duties
  • Develop, maintain, and optimize BI dashboards and reports in Sigma Computing to support decision-making
  • Build and maintain data models; gather and document data requirements with stakeholders
  • Partner on data infrastructure, visualization, and analytics roadmap initiatives
  • Perform ad hoc analysis and deep dives to generate actionable insights
  • Automate internal and external reporting while ensuring data quality and timeliness
  • Improve report performance and streamline data visualization using advanced modeling techniques
  • Maintain data accuracy, governance, and documentation; support validation processes
Qualifications
  • Strong quantitative background with excellent analytical, written, and communication skills
  • Self-starter with strong organizational skills; able to manage multiple priorities independently and within a team
  • 2+ years of professional experience in analytics or BI development
  • Proficiency with SQL
  • Experience with using tools such as Sigma, Looker, Power BI, or similar
  • Willingness to learn and integrate AI into current technology.
  • Experience with data modeling, visualization, and ad hoc analysis
  • Experience with system integrations, APIs, and performance optimization
Nice-to-Have Skills
  • Familiarity with tools such as DAX, Python, dbt, LookML, SSRS, and Snowflake
  • Familiarity with financial concepts, investment management, or capital markets
  • Exposure to commercial real estate concepts
  • Strong project management skills and ability to work in a fast-paced, collaborative environment
  • High attention to detail, accountability, and ability to communicate clearly and concisely
Our Vetting Process
At Emergent Staffing, we work hard to find candidates who are the right fit for our clients. Here are the steps of our vetting process for this position:
  1. Application (5 minutes)
  2. Online Assessment (40-60 minutes)
  3. Initial Video Interview (30-45 minutes)
  4. Client Video Interview (45 minutes)
  5. Client Onsite Interview
  6. Job Offer!

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