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Part Time Python Data Analysis Jobs in San Diego, CA

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

You'll sharpen your skills in analytical exploration and data examination while you support the ... Experience writing software in programming languages, including Python, SQL, R, Javascript, or C+

AB InBev

Analyst, Service (Part-Time)

San Diego, CA

$27/hr

Experience with MS Office Suite including advanced Excel skills, highly skilled in data analysis * Understanding of query-type software, preferred. * Knowledge of applicable systems, preferred (i.e ...

AB InBev

Analyst, Service (Part-Time)

San Diego, CA · On-site

$23 - $27/hr

Experience with MS Office Suite including advanced Excel skills, highly skilled in data analysis * Understanding of query-type software, preferred. * Knowledge of applicable systems, preferred (i.e ...

TalentCORE, Inc.

Senior Price / Cost Analyst

Poway, CA · On-site

$85K - $108K/yr

... data analysis. Equivalent experience may be substituted in lieu of education. * Must have ... Workstyle Hybrid Full-Time/Part-Time Full-Time Salary Pay Range Low 116,480 Pay Range High 208,505 ...

General Atomics

Intern - Graduate (business)

Poway, CA · On-site

$38K - $56K/yr

Skilled in writing DAX (Data Analysis Expressions) Measures. * Requires active enrollment and currently attending as a Graduate student at a recognized college or university. * Full- or part-time ...

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All JobsPython Data Analysis JobsPart Time Python Data Analysis JobsPart Time Python Data Analysis Jobs in San Diego, CA

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:
Part Time Python Data Analysis jobs near you
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.

2027 AI Initiatives PhD Internship

StepStone Group

La Jolla, CA • On-site, Remote

$30/hr

Full-time, Part-time, Internship

Posted 7 days ago

Job description

The team you'll join

StepStone's AI Initiatives team focuses on harnessing AI and machine learning to transform private markets investment research. The team spans the entire AI project lifecycle-from identifying high-impact use cases to deploying production-ready solutions-integrating cutting-edge technologies like LLMs, NLP, and advanced quantitative methods to drive strategic outcomes across portfolio analysis, investment performance, and risk assessment. 

About the role

StepStone is seeking highly analytical and technically skilled interns to join the AI Initiatives team. This role is best suited for candidates who combine strong Python and quantitative skills with hands-on experience in LLM application development. Interns will work on production-oriented projects involving LLM pipeline design, structured data extraction, and quantitative modeling to support investment research.

We are looking for team players with a collaborative mindset and a strong work ethic-candidates who take ownership of their work but remain open to feedback, eager to learn from others, and committed to collective success. A low-ego, problem-solving approach is essential for success in this role. 

What you'll do

Interns will design, build, and iterate on LLM-powered solutions-including structured data extraction pipelines, RAG systems, and AI-assisted investment research tools. You'll work hands-on with large financial datasets, applying quantitative modeling and statistical analysis to support investment performance research across StepStone's private markets portfolio.

Key responsibilities

  • Design and iterate on LLM-powered pipelines for document processing tasks such as structured data extraction, RAG system design, prompt engineering, and LLM-output evaluation.
  • Build and optimize quantitative models and end-to-end data pipelines using Python, and SQL for large-scale financial data extraction and transformation.
  • Analyze large financial datasets and apply quantitative modeling to surface investment insights.
  • Document technical findings, model design decisions, and pipeline architecture; communicate results clearly to both technical teammates and non-technical investment stakeholders.

What we're looking for

  • Pursuing a Ph.D. in Mathematics, Physics, Econometrics, Statistics, Engineering, or a related quantitative field. 
  • Ability to work in-person in our La Jolla during the 2027 summer intern program and work part time remotely during the 2028 Fall semester.
  • Strong Python coding skills with experience in data pipelines and quantitative modeling; SQL proficiency required, with demonstrated ability to work with large, messy real-world datasets.
  • Experience or coursework in AI/ML (LLMs, NLP, data retrieval, vector embeddings) is highly preferred. 
  • Strong problem-solving skills with a detail-oriented, hands-on approach to work. 
  • Team-oriented and adaptable-able to balance independent work with collaborative projects. 
  • Open to feedback and continuous improvement, witha strongintellectual curiosity. 
  • Familiarity with cloud data platforms (e.g. Snowflake, Azure), vector databases, or workflow orchestration tools (e.g. Airflow) is a plus.
  • Willingness to contribute at all levels-whether tackling complex modeling orassistingwith data prep, no task is too small. 

Why join us?

At StepStone, we foster a supportive and inclusive team culture where collaboration and learning are the core of what we do. Our collegial atmosphere encourages teamwork, mentorship, and professional development. This summer internship is a great opportunity to gain practical experience and develop critical skills that will help you launch a successful career in private markets.

Click here to learn more about the intern experience.

Salary: $30 / hour

The salary is an estimate of pay for this position.  Actual pay may vary depending on job-related factors that can include location, education, skill, and experience.  The salary does not include any benefits or other forms of possible compensation that may be available to employees.

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