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Python Data Analyst Jobs in Minnesota (NOW HIRING)

BBQ Holdings

Data Quality Analyst

Minnetonka, MN · On-site

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality ... Experience with: o PySpark o Python o Databricks Workflows o Unity Catalog o Delta Live Tables o ...

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Fortress

Data Quality Analyst

Virginia, MN · On-site

$100 - $125/hr

Data Quality Analyst - Fortress Location: Hybrid (District of Columbia, Maryland, and Virginia) or ... Familiarity with scripting or programming languages such as Python * Industry certifications such ...

Compeer Financial

Intern Data Analytics

Mankato, MN · On-site +1

$20 - $21/hr

Utilize tools such as SQL, Python, R, and Microsoft Excel. * Utilize AI tools to research, build ... Coursework or experience in data analytics, modeling, or financial analysis strongly preferred.

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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 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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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.

Sr Data Analyst - FP&A Reporting & Analytics

Minneapolis, MN • On-site

Target Brands, Inc.
Retail • 10K+ employees
Learn more about Target Brands, Inc.external

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 7,063 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $88,000.00 - $158,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role on the Reporting & Analytics team with Financial Planning & Analysis means belonging to a great team of genuine, diverse, courageous and versatile people who put integrity and ethics at the heart of everything they do. You'll play a key role in delivering standardized, accurate, and insightful financial reporting across FP&A. This role partners closely with finance leaders and business stakeholders to design, automate, and enhance reporting solutions that drive data-informed decision-making. As part of a centralized Reporting & Analytics team, this analyst will support multiple FP&A functions (Merch Finance, Marketing, Stores, Supply Chain, Corporate Finance, Capital) by providing scalable reporting, dashboarding, and analytical insights.
About you:
  • Four-year degree or equivalent experience
  • 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience
  • Advanced SQL experience writing complex queries
  • Intermediately accomplished with Python or R
  • Knowledge of forecasting models including statistical analysis
  • Advanced data visualization skills; building interactive, executive ready dashboards in tools like Power BI, Looker, Tableau, etc.
  • Solid problem solving, analytical skills, data curiosity, data mining, data creation and consolidation
  • Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations
  • Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results
  • Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
  • Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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