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Python Data Analysis Jobs in Minnesota (NOW HIRING)

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 ...

Process and analyze large datasets using tools such as nCode GlyphWorks or comparable platforms. * Develop, maintain, and automate data processing workflows and scripts, including use of Python or ...

Data Solutions Analyst

Minneapolis, MN · On-site

$75K - $80K/yr

This Deluxe Data Solutions Analyst position is the technical resource that works between our ... Experience in R, python or other big data tools and languages * Experience in SQL, Visual Studio ...

Data Solutions Analyst

Minneapolis, MN · On-site

$75K - $80K/yr

This Deluxe Data Solutions Analyst position is the technical resource that works between our ... Experience in R, python or other big data tools and languages * Experience in SQL, Visual Studio ...

Data Solutions Analyst

Minneapolis, MN · On-site

$75K - $80K/yr

This Deluxe Data Solutions Analyst position is the technical resource that works between our ... Experience in R, python or other big data tools and languages * Experience in SQL, Visual Studio ...

Conduct complex analysis of data quality issues, matching logic, and address validation rules and ... Strong handson experience with Java, Python, APIs, SQL, and data transformation. Proven experience ...

... analysis of data quality issues, matching logic, and address validation rules and implement ... using Java, Python, APIs, and SQL. • Support data transformation, batch processing, and ...

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Python Data Analysis information

See Minnesota salary details

$12

$57

$84

How much do python data analysis jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python data analysis in Minnesota is $57.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Minnesota? The most popular types of Python Data Analysis jobs in Minnesota are:
What job categories do people searching Python Data Analysis jobs in Minnesota look for? The top searched job categories for Python Data Analysis jobs in Minnesota are:
Sr Data Analyst

Sr Data Analyst

Target Brands, Inc.

Minneapolis, MN • On-site

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,842 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 in Target's Food Supply Chain is a chance to truly serve our guests with speed, freshness and quality. We strengthen the efficiency of product delivery and partner across Target's Global Supply Chain to provide the highest quality food products to our guests-on time, every time. Here, your role might be extracting business insights from data, solving problem statements, conducting gap analysis and recommending focus areas for leadership. Or you'll be an inventory management resource whose specialized point of view informs what we buy, from whom, how much and where it needs to go from there. You'll leverage inventory positioning to achieve the best possible product availability, and establish and develop great relationships with our vendors to encourage on-time delivery. Or join our team in a food distribution center where you're on the very front lines of getting product to the guest as fast as possible-a critical differentiator that keeps Target guests coming back for more.
This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on accelerating next-generation data capabilities to unlock scalable, profitable growth across Target's food supply chain initiatives. The position operates at the intersection of business strategy and advanced analytics, partnering cross-functionally to frame high-impact problems and translate them into data-driven solutions.
You will architect and deploy end-to-end analytical approaches-spanning data acquisition, modeling, validation, and interpretation-leveraging modern methodologies and tools. Insights will be synthesized into compelling narratives and delivered to senior stakeholders to inform strategic decision-making. The role also involves designing intuitive, high-performance dashboards and reporting ecosystems grounded in best-in-class data visualization principles, enabling real-time, actionable intelligence. Additionally, you will establish robust documentation standards for analytical frameworks and continuously evolve your toolkit by staying at the forefront of emerging trends in data science, machine learning, and visualization technologies.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
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
  • Strong experience navigating and integrating data across large-scale warehouse environments (e.g., BigRed3, GCP/BigQuery), with an understanding of data architecture, performance tuning, and scalability
  • 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.

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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