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Part Time Python Data Analysis Jobs in San Diego, CA

We are seeking a highly skilled and experienced part-time Ergonomist to join our dynamic team. As ... Analyze data and gather information to develop comprehensive ergonomic recommendations and ...

We are seeking a highly skilled and experienced part-time Ergonomist to join our dynamic team. As ... Analyze data and gather information to develop comprehensive ergonomic recommendations and ...

Logistician

San Diego, CA · On-site

$158K/yr

Experience conducting data analysis at both critical and non-critical failure data to determine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Engineering Software Programmer

CA · On-site

$85K - $125K/yr

Must have interest in engineering design, analysis, and data management processes. * Experience ... No contractors or part-time applications will be accepted. * Excellent verbal and written ...

Showing results 41-60

Part Time Python Data Analysis information

See San Diego, CA salary details

$14

$62

$91

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

As of Aug 11, 2026, the average hourly pay for part time python data analysis in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 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 San Diego, CA? The most popular types of Python Data Analysis jobs in San Diego, CA are:
What are popular job titles related to Part Time Python Data Analysis jobs in San Diego, CA? For Part Time Python Data Analysis jobs in San Diego, CA, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in San Diego, CA look for? The top searched job categories for Part Time Python Data Analysis jobs in San Diego, CA are:
What cities near San Diego, CA are hiring for Part Time Python Data Analysis jobs? Cities near San Diego, CA with the most Part Time Python Data Analysis job openings:
Infographic showing various Part Time Python Data Analysis job openings in San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,457 per year, or $62.2 per hour.

Department of Management Information Systems Lecturer Pool 2026-2027

San Diego State University (SDSU)

San Diego, CA

$5.5K - $6.6K/mo

Full-time, Part-time

Re-posted 9 days ago


San Diego State University rating

7.2

Company rating: 7.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

382nd of 617 rated colleges and universities


Job description

Department of Management Information Systems Lecturer Pool 2026-2027

Apply Now Job no: 555847
Work type: Instructional Faculty - Temporary/Lecturer
Location: San Diego
Categories: Unit 3 - CFA - California Faculty Association, Temporary, Part Time

Description

The Department of Management Information Systems in the Fowler College of Business at San Diego State University is accepting applications for their part-time lecturer pool.  

We welcome applications from prospective temporary faculty with expertise or experience in the following areas:

  • Information Systems
  • Data Science/Statistics
  • Artificial Intelligence
  • Cybersecurity
  • Supply Chain Management

Temporary appointments may be either full- or part-time. Appointments from the part-time pool are often made just prior to the start of the academic term, so applicants must be available on very short notice. The Fall term begins mid-August and end late-December; the Spring term begins mid-January and ends mid-May. Opportunities for teaching during the Summer Sessions may also be available. Initial appointments are typically one semester or one academic year, to be renewed contingent on satisfactory evaluations and continuing availability of work. Applications will remain in our applicant pool during the academic year you apply.

Qualifications

Criteria 

  • Graduate degree in Management Information Systems, Computer Science, Data Science/Statistics, or Supply Chain Management.
  • University teaching experience
  • Demonstrated currency in subject matter
Application Instructions

Prospective temporary faculty who would like their applications on file are to send the following items:

  • Required: Curriculum Vitae
  • Required: Please mark subjects available to teach -- database, AI, cybersecurity, data science/statistics, operations management/supply chain, python programming, computer networking, systems admin, digital innovation, systems analysis & design
  • Optional (if available): Recent teaching evaluations
  • Contact information for three (3) professional references (new employees only)
  • Cover letter (new employees only)
  • Unofficial transcripts (new employees only)

Initial rank and salary for lecturer faculty are based on professional experience and educational background and are determined by the hiring department. Most new appointees are hired at the Lecturer A or B rank and placed at the beginning of the range.

As of July 2024, the classification salary ranges for the respective ranks are:

Lecturer A: $5,507 - $6,677

Lecturer B: $6,221 - $13,224

Lecturer C: $6,825 - $14,523

Lecturer D: $8,593 - $15,211

Inquiries: For application inquiries, please email MIS Administrative Support Coordinator, Nary Xaysanasith, at nxaysanasith@sdsu.edu.

Pursuant to Education Code 89521, the California State University requires that employment applicants disclose any final administrative decision or final judicial decision issued within the last seven years determining that the applicant committed sexual harassment.  This requirement applies specifically to applicants who meet the minimum qualifications for the Academic or Administrative position they are applying to.  Disclosures shall be provided to the San Diego State University Center for the Prevention of Harassment and Discrimination for further adjudication. Please contact cphd@sdsu.edu.

As part of its commitment to a safe and equitable "OneSDSU" community, SDSU requires that individuals seeking faculty employment provide at the time of application authorization to conduct background checks if they become a finalist for the position; applications without this authorization will be considered incomplete and not considered.

The person holding this position is considered a "mandated reporter" under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.

A background check (including a criminal records check) must be completed satisfactorily before any candidate can be offered a position with the CSU. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current CSU employees who apply for the position.

Equal Opportunity and Excellence in Education and Employment

All university programs and activities are open and available to all regardless of race, sex, color, ethnicity or national origin. Consistent with California law and federal civil rights laws, San Diego State University (SDSU) provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Our commitment to equal opportunity means ensuring that every student and employee has access to the resources and support they need to thrive and succeed in a university environment and in their communities. SDSU complies with Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California's Proposition 209 (Art. I, Section 31 of the California Constitution), other applicable state and federal anti-discrimination laws, and CSU's Nondiscrimination Policy. We prohibit discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of discrimination, harassment, and retaliation in all university programs, policies, and practices. 

SDSU is a diverse community of individuals who represent many perspectives, beliefs and identities, committed to fostering an inclusive, respectful, and intellectually vibrant environment. We cultivate a culture of open dialogue, mutual respect, and belonging to support educational excellence and student success. Through academic programs, student organizations and activities, faculty initiatives, and community partnerships, we encourage meaningful engagement with diverse perspectives. As a higher education institution, we are dedicated to advancing knowledge and empowering individuals to reach their full potential by prioritizing inclusive curriculum development, faculty and staff training, student mentorship, and comprehensive support programs. At SDSU, excellence is built on merit, talent, diversity, accessibility, and equal opportunity for all.

Advertised: Apr 03, 2026 (9:00 AM) Pacific Daylight Time
Applications close:

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