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Part Time Python Data Analyst Jobs in Minneapolis, MN

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Part Time Python Data Analyst information

See Minneapolis, MN salary details

$35.5K

$86.3K

$142K

How much do part time python data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for part time python data analyst in Minneapolis, MN is $86,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What is a part time Python data analyst?

A Part Time Python Data Analyst is a professional who uses the Python programming language to analyze, interpret, and visualize data, typically while working less than full-time hours. They may clean and process datasets, generate reports, create data visualizations, and support business decision-making using Python libraries such as Pandas, NumPy, and Matplotlib. The part-time aspect allows flexibility, making this role suitable for students, freelancers, or individuals seeking work-life balance. These analysts often collaborate with teams to deliver actionable insights based on data trends and patterns.

What are the key skills and qualifications needed to thrive as a part time Python data analyst?

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science, often supported by a relevant degree or coursework. Familiarity with data visualization tools (such as Tableau or matplotlib), SQL databases, and experience using data analysis libraries like pandas and NumPy are typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret data and present insights clearly to stakeholders. These skills are crucial for translating complex data into actionable information, ensuring informed decision-making in a flexible, part-time role.

What are some common challenges faced by part time Python data analysts, and how can they be addressed?

Part-time Python Data Analysts often face the challenge of managing their workload within limited hours, which can make it difficult to keep up with rapidly changing project requirements or tight deadlines. Effective time management and clear communication with team members are crucial to ensure priorities are understood and tasks are completed efficiently. Additionally, staying updated on the latest Python libraries and data analysis tools can help streamline workflows and improve productivity. Collaborating closely with full-time colleagues and leveraging project management tools can also help bridge gaps in team coordination.

What is the difference between Part Time Python Data Analyst vs Part Time R Data Analyst?

AspectPart Time Python Data AnalystPart Time R Data Analyst
Required SkillsPython, SQL, data visualization, basic statisticsR, SQL, data visualization, basic statistics
CertificationsPython certifications, data analysis coursesR certifications, data analysis courses
Work EnvironmentRemote or on-site, tech companies, consulting firmsRemote or on-site, research institutions, analytics firms
Industry UsageFinance, marketing, tech startupsHealthcare, academia, research organizations

Both roles involve data analysis with a focus on their respective programming languages. The main difference lies in the preferred tools and industry applications. Python Data Analysts often work in tech-driven environments, while R Data Analysts are common in research and healthcare sectors. Skills and certifications are similar, making them comparable roles for part-time data analysis positions.

Sr. Data Scientist - Network Modeling & Optimization

Richfield, MN • Hybrid


Best Buy
Retail • 10K+ employees

6.8

Company rating: 6.8 out of 10

Based on 1,788 frontline employees who took The Breakroom Quiz

14th of 30 rated technology retailers

People enjoy working here

Recommended by students

Respectful managers


Full-time, Part-time

Retirement, PTO

Posted 3 days ago

New


Job description

The Sr. Data Scientist - Network Modeling & Optimization will be a senior technical contributor responsible for leading complex analytical and modeling projects and supported by a small dedicated team of Data Scientists. This role's primary responsibility will be updating, running and improving existing Supply Chain network models to support business planning and one-off decisions both tactical and strategic.  The role will be hands-on. The role will also assist and advise in the development of new models and readiness for production.
The Network Modeling & Optimization team within Supply Chain Analytics develops analytical capabilities that help Best Buy evaluate its supply chain network across cost, capacity, customer service, product flow, inventory placement, and operational feasibility.
This role is hybrid, which means you will be required to work up to three days/week on site at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non Best Buy location on days not expected in the office. The recruiter or hiring manager will provide more details during the hiring process.
What You'll Do
  • Develop and maintain analytical inputs and optimization models representing facilities, transportation lanes, demand, product flows, costs, capacities, service requirements, and business rules.
  • Evaluate strategic and tactical scenarios involving facility location, network assignments, capacity, sourcing, inventory placement, transportation, and product flow.
  • Validate model behavior, diagnose infeasibilities and data-quality issues, and clearly communicate assumptions, limitations, tradeoffs, and recommendations to business and technical stakeholders
  • Translate ambiguous supply chain questions into structured analytical problems by defining objectives, available decisions, constraints, assumptions, data requirements, and expected outputs.
  • Ability to translate complex physical processes into simplified functions that preserve the essential real-world characteristics but simple enough to become inputs for mathematical models.  
  • Support complex network modeling and optimization projects from business-problem definition through model development, validation, interpretation, and recommendation.
  • Provide technical guidance and mentorship to Data Scientists and analysts while establishing reusable modeling practices, documentation standards, and quality controls.

Basic Qualifications
  • Bachelor's degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Economics, Engineering, Supply Chain Analytics, or a related quantitative field-or equivalent experience.
  • 4+ years of relevant experience in data science, operations research, optimization, supply chain analytics, forecasting, simulation, or a related analytical field.
  • 4+ years of leading complex analytical projects and translate ambiguous business questions into structured modeling approaches.
  • 4+yearshands-on experience using data analytics (e.g., SQL, Python, R), and machinelearningand/or optimization tools (i.e., Python, R,Gurobi, Vertex AI).
  • Strong knowledge of optimization, operations research, statistical modeling, forecasting, simulation, machine learning, or another advanced analytical discipline.
  • Ability to explain technical concepts, model results, and business recommendations clearly to technical and non-technical audiences.
Preferred Qualifications
  • Advanced degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Supply Chain Analytics, or a related quantitative field.
  • Experience with supply chain network design, transportation, distribution, fulfillment, inventory, logistics, or capacity planning.
  • Experience developing optimization models using methods such as linear programming, mixed-integer programming, network flow, facility location, or assignment modeling.
  • Experience defining model inputs, decision variables, constraints, objective functions, scenarios, and outputs-and diagnosing model infeasibilities.
  • Familiarity with AIMMS or comparable optimization platforms, libraries, or solvers. Direct AIMMS experience is preferred but not required.
  • Experience providing technical leadership, mentoring Data Scientists or analysts, and communicating recommendations to business leaders.
 
What's in it for you
We're committed to helping our people thrive at work and at home. Best Buy offers a range of benefits to support your overall well-being and provide support as you need it, especially at key moments in your life.
Our benefits include:
  • Competitive pay
  • Great employee discount
  • Financial savings and retirement resources
  • Support for your physical and mental well-being
Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.
Application deadline: Minimum of 5 days from the posting date. You can find that date above the job title at the top of the page.

BEST BUY logo

About BEST BUY

Sourced by ZipRecruiter

As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life -- in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Richfield, MN, US

Year founded

1966


What Best Buy employees say

Pay

Benefits

Hours and flexibility

Workplace

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