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Part Time Python Data Analysis Jobs (NOW HIRING)

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Support the sustainment of risk scoring tools and other data analysis implementations by ... Experience coding to support writing scripts with tools, such as Java and Python * Experience using ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... exploratory data analysis (EDA) to identify patterns, trends, and anomalies in data; Apply ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

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Part Time Python Data Analysis information

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

As of Aug 20, 2026, the average hourly pay for part time python data analysis in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

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Part Time Python Data Analysis jobs near you
Infographic showing various Part Time Python Data Analysis job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Analytics Internship - On-site in Scottsdale, AZ

Vitalant

Scottsdale, AZ • On-site

$20/hr

Part-time

Re-posted 15 days ago

Vitalant rating

6.2

Company rating: 6.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

698th of 889 rated healthcare providers

Job description

At Vitalant, the impact you make doing work that is purposeful, meaningful, and worthwhile is vital. As a member of our non-profit organization, you can be impact-inspired to provide vital clinical services to communities nationwide, vital products to those in need of a donor's generosity, or vital scientific research that advances blood safety worldwide.
Work Shift (if applicable):
Shift 1 (United States of America)
Job Description:
Compensation: $20.00/ hour
Vitalant is hiring a Data Analytics Intern to help advance our life-saving mission through meaningful, data-driven insights. This part-time role offers fully flexible scheduling Monday through Thursday, with opportunities to work 16-24 hours per week based on your availability during the current school semester and into the Summer break. This internship will work on-site at our Scottsdale, AZ office - remote or hybrid options are not available.
In this Data Analytics Internship, you will:
  • Support Advanced Analytics initiatives by preparing datasets, conducting exploratory data analysis (EDA), and assisting with machine-learning workflows in Python.
  • Gain hands-on exposure to modern ML techniques used across our program, including tree-based models (XGBoost), neural networks (RNNs), and time-series forecasting approaches.
  • Collaborate with senior analysts, computer scientist and engineers to evaluate model performance and help operationalize insights.
  • Assist with BI and data-engineering tasks, including updating data pipelines, refining semantic models, and maintaining data quality across our BI ecosystem.
  • Work with Power BI and Looker to support ongoing enhancements as we expand our analytics presence.
  • Perform data validation, profiling, and quality checks to ensure accurate, trusted reporting and analytics.
  • Collaborate with cross-functional teams to gain real-world experience building analytics solutions in a complex, mission-driven organization.

This is an exceptional opportunity for students interested in Data Science, Computer Science, or Analytics to develop hands-on skills in BI, cloud technologies, and machine learning while contributing to meaningful, real-world projects that support a life-saving mission. If you are eager to grow in advanced analytics and ML, we would love to hear from you.
Requirements:
Knowledge/ Education
Enrolled in a formal intern program at an educational institution required.
Skills/ Abilities
Ability to work in a team environment.
Able to set priorities, organize and handle a variable workload.
Effective oral and written communication skills.
Must be self-motivated with good organizational skills.
Proficient personal computer skills.
Experience
No experience required.
Location:
9305 East Via de VenturaScottsdale, AZ 85258
Job Category:
Administrative Support
Contact Information: careers@vitalant.org
If you are impact-inspired to help others, and making a difference is vital for you, you'll experience a career built on purpose, a company created to care, and a team committed to lead - together.

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