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Part Time Python Data Analysis Jobs in Minneapolis, MN

Retail Data Collection Associate - PT

Hopkins, MN · On-site

$15.50 - $17.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Permanent Part time (Looking for supplemental income? This is it!) Flexible schedule Paid training

Showing results 41-60

Part Time Python Data Analysis information

See Minneapolis, MN salary details

$13

$61

$90

How much do part time python data analysis jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for part time python data analysis in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, 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 Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

What are the key skills and qualifications needed to thrive as a part-time Python data analyst, and why are they important?

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

What are the most commonly searched types of Python Data Analysis jobs in Minneapolis, MN?

The most popular types of Python Data Analysis jobs in Minneapolis, MN are:

What are popular job titles related to Part Time Python Data Analysis jobs in Minneapolis, MN?

For Part Time Python Data Analysis jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Part Time Python Data Analysis jobs in Minneapolis, MN look for?

The top searched job categories for Part Time Python Data Analysis jobs in Minneapolis, MN are:

Infographic showing various Part Time Python Data Analysis job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,273 per year, or $61.2 per hour.

Bookkeeper - Part-time

Minneapolis, MN

$20 - $28/wk

Part-time

Posted 7 days ago


Job description

Company Overview 

Our client is a growing organization committed to financial accuracy, transparency, and disciplined execution. This role supports leadership by ensuring the company’s financial records are reliable, timely, and decision ready. The Bookkeeper / Office Administrator plays a critical role in maintaining financial clarity, tracking performance, and supporting the company’s continued growth. 

 Role Summary 

The Bookkeeper / Office Administrator is responsible for the day-to-day execution of the company’s accounting and administrative financial functions. This role ensures accurate transaction processing, consistent reconciliations, and timely managerial and financial reporting using ProContractor/ViewPoint and ProCore. The position requires a strong understanding of basic accounting fundamentals, attention to detail, and the ability to communicate financial information clearly to management and external partners.

--THIS IS A PART-TIME POSITION TO START. FLEXIBLE HOURS - 5 DAYS & 30 HOURS A WEEK.

This will eventually become a full-time position but is part-time for the near future. Open to recent college graduates or accounting students with viable experience. 

Core Responsibilities 

Accounting & Financial Management 

  • Maintain accurate and up-to-date financial records in ViewPoint/ProContractor 

  • Record and reconcile daily financial transactions, including: 

    • Sales 

    • Purchases 

    • Receipts 

    • Retainage 

    • Payments 

  • Manage Accounts Payable and Accounts Receivable, ensuring accuracy and timeliness 

  • Prepare regular bank and account reconciliations for audit 

  • Ensure transactions are properly coded and supported with documentation 

Reporting & Analysis 

  • Prepare and distribute financial reports on a: 

    • Weekly 

    • Monthly 

    • Quarterly 

    • Annual basis 

  • Support budgeting and forecasting activities 

  • Identify discrepancies, trends, or concerns and escalate to management as needed 

  • Maintain financial data in a clear, organized, and audit-ready format 

Compliance & External Coordination 

  • Coordinate with external partners for:  

    • Budget preparation 

    • Weekly Cash Flow Management 

    • Labor Burden and Overhead Absorption Reporting 

    • Tax preparation 

    • Reviews or audits 

  • Support compliance with local, state, and federal financial regulations 

  • Maintain documentation required for audits and regulatory reviews 

Communication & Administrative Support 

  • Provide timely financial updates and summaries to management 

  • Communicate clearly with internal team members regarding financial processes or requirements 

  • Support general office administrative tasks as needed to maintain smooth operations 

Required Qualifications 

  • Proficiency in ViewPoint/ProContractor 

  • Proficiency in MS Excel/MS Word/MS Teams/MS Outlook 

  • Strong understanding of accounting principles and managerial/financial reporting 

  • High attention to detail with strong organizational skills 

  • Ability to work independently and manage multiple priorities 

  • Clear written and verbal communication skills 

Preferred Skills 

  • Experience with managerial accounting concepts 

  • Ability to explain financial information to non-financial team members in plain language 

  • Experience supporting small-to-mid-sized business operations 

  • Experience with customer service communications with regard to A/R collections and A/P Payments. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.