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Part Time Python Data Analysis Jobs in Philadelphia, PA

Python * R and Tidyverse * Databases and database management with SQL * Business analytics ... Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a ...

Business Analytics Tutor

Chester, PA ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Business Analytics Tutor

Trenton, NJ ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

UI-UX Engineer

Philadelphia, PA ยท Hybrid

$65K - $115K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Experience in identifying trends and problems through complex big data analysis preferred.

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Part Time Python Data Analysis information

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$13

$59

$87

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

As of Jun 25, 2026, the average hourly pay for part time python data analysis in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 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 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 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 are the most commonly searched types of Python Data Analysis jobs in Philadelphia, PA? The most popular types of Python Data Analysis jobs in Philadelphia, PA are:
What are popular job titles related to Part Time Python Data Analysis jobs in Philadelphia, PA? For Part Time Python Data Analysis jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in Philadelphia, PA look for? The top searched job categories for Part Time Python Data Analysis jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Part Time Python Data Analysis jobs? Cities near Philadelphia, PA with the most Part Time Python Data Analysis job openings:
Adjunct Faculty- Data Science

Adjunct Faculty- Data Science

Eastern University

PA โ€ข On-site, Remote

Part-time

Medical, Life, Retirement, PTO

Posted 12 days ago


Job description

Location : St. Davids
Job Type: Adjunct Faculty
Remote Employment: Remote Optional
Job Number: 515
Department: Data Science - (College of Health and Sciences)
Opening Date: 01/25/2024
Join our vibrant community of dedicated faculty and staff who work to create a transformative educational experience rooted in faith, reason, and justice.
Eastern University is a nationally-recognized Christian university enrolling approximately 9,000 students in a wide array of undergraduate, graduate, professional, and seminary programs. The university's main campus is located in St. Davids, PA, with many programs also offered online. Eastern's core values of Faith, Reason, and Justice are woven into all of its educational offerings. Through dynamic programs, a vibrant campus community, and meaningful service learning opportunities, Eastern University is committed to providing students with transformative, accessible, and affordable education.
Position Description
Eastern University, a Christian university of humanities, health, arts and natural and social sciences, invites applications for an adjunct instructor of Data Science. Positions are available for both on-ground synchronous and online asynchronous instruction. This position can be remote.
We seek instructors for courses including material in the following areas:
  • Python
  • R and Tidyverse
  • Databases and database management with SQL
  • Business analytics
  • Introductory statistics
  • Intermediate statistics
  • Machine learning
  • Data visualization
  • Data manipulation

Qualifications
Preferred applicants will have a M.S. or Ph.D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and experience teaching at the college/university level.
Supplemental Information
To apply, applicants must submit a cover letter to include a brief statement of their faith, curriculum vitae, unofficial copies of graduate transcripts, and three current professional references.
About Eastern University
Eastern University is a Christian university of the arts and sciences that integrates faith, reason and justice for students in its undergraduate, graduate, seminary, urban, professional and international programs. Applicants should have a Christian commitment compatible with its mission and be willing to support the mission and vision of the university. The university complies with federal and state guidelines of nondiscrimination in employment; members of protected classes encouraged to apply.
Background Checks
Standard University employees are required to complete the background clearance process. Employment is contingent upon the successful results of an employment background screening. The employment background screening may include but is not limited to your consumer credit history (for positions that work with the university finances or alumni funds only), verification of education and professional credentials, criminal history, driving history, residency, immigration status, performance, references, and other qualities pertinent to your qualifications for the following position.
Youth Clearances are required for positions with direct contact with children and essential personnel positions. Employees working with or around minor age children are required to complete the youth clearance process which includes the following four child protection clearances:
1) Affidavit;
2) FBI Criminal Record Check;
3) Pennsylvania Department of Human Services Child Abuse History Clearance and;
4) Pennsylvania State Police Criminal Record Check.
In accordance with state laws, Act 73 of 2007, Act 153 of 2014, Act 168 (relating to the Child Protective Services Law), school employees of Eastern University who will have "direct contact with children" must complete the background check process prior to employment. Results must be submitted within ten days of receipt.
Description Disclaimer
This description is intended to describe the general level and nature of work performed by the person/people assigned to this position. It is not to be construed as an exhaustive list of duties and responsibilities of the person/people so assigned.
For all positions: Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Statement of Non-Discrimination
Eastern University is committed to the principles of equal opportunity as defined under federal and state law, and does not discriminate unlawfully on the basis of race, gender, sexual orientation, color, creed, disability, national/ethnic origin, age, disabled veteran/Vietnam-era, Genetic Information and Nondiscrimination Act (GINA), or veteran status in its admission policy, program, or activities, educational policies, scholarship and loan programs, athletic and other University-administered programs, or employment practices and programs.
We offer a complete benefits package to full-time faculty and staff including healthcare coverage, retirement plan contributions, flexible spending and health savings accounts, life insurance, long-term and short-term disability, tuition remission and tuition exchange participation as well as an extensive holiday, summer hours and paid time off leave schedule.
Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a full benefit package based on their part-time scheduled hours. Healthcare coverage is based on the ACA medical coverage guidelines. Affiliate faculty receive a benefit package as outlined with their covenant. Adjunct faculty may be eligible for medical coverage under the ACA after an annual one year lookback review.
Part-time staff who are scheduled to work less than 30 hours per week schedule are eligible for employer contribution towards the retirement plan after one year of employment. Eligibility rules apply. Adjunct faculty may make employee deferral contributions towards the retirement plan.
Part-Time Graduate Assistant Coaches are eligible for participation in the Tuition Remission Coaches Program.
Temporary, Contractors and Seasonal Employees: Individuals in this status are scheduled on an as-needed-basis and are not eligible for participation in the University's benefits programs.
Detailed information regarding our benefits program and eligibility is provided once hired or you can contact Human Resources with any questions.