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Part Time Python Data Analysis Jobs in California

True Mission HR

Data Analyst (part-time)

Orange, CA

$35 - $38/hr

We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with ... Identify program trends and outcomes through data analysis using OQ Analyst, data manipulation ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$61K - $141K/yr

... Python, R, or SQL, for data manipulation and analysis * 2+ years of experience with data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

... Python, R, or SQL, for data manipulation and analysis * 2+ years of experience with data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Python Data Analysis information

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.
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Part Time Python Data Analysis jobs near you

Qualitative Researcher - Data Analysis

Redwood Resources

Culver City, CA • On-site, Remote

$65 - $85/hr

Part-time

Posted 3 days ago

Job description

Project-Based Part-Time Contract (Potential for Ongoing Engagement)


We are seeking an experienced Data Scientist or Qualitative Research Analyst to support a specific project analyzing interview data. The selected consultant will develop a defensible qualitative research methodology, establish coding frameworks and coding guidelines, analyze interview findings, and identify key themes, insights, trends, and recommendations.


This engagement may expand into additional projects involving survey research, stakeholder engagement, workforce development, public sector initiatives, transportation, community engagement, and organizational assessments.


Evaluation Criteria

  • Relevant qualitative research experience.
  • Methodological rigor.
  • Ability to develop defensible coding frameworks.
  • Quality of reporting and communication.
  • Experience with AI-assisted analysis.
  • Cost competitiveness.
  • Availability and responsiveness.


Note: Any use of artificial intelligence tools must be disclosed in advance. The selected consultant will be required to submit a written description of proposed AI tools, methodology, validation processes, and quality control measures for review and approval prior to implementation.

Compensation:

$65 - $85 hourly


Responsibilities:

Phase 1: Methodology Development

  • Review project objectives, interview guides, and research goals.
  • Develop a qualitative analysis methodology.
  • Create coding protocols and thematic analysis procedures.
  • Design a codebook and coding hierarchy.
  • Establish quality assurance procedures for coding consistency.
  • Document methodology suitable for client review and reporting.


Phase 2: AI-Assisted Analysis Framework

  • Recommend AI tools and analytical approaches to support qualitative analysis.
  • Provide written documentation describing:
  • Proposed AI platforms and tools
  • Intended use cases
  • Validation procedures
  • Human review processes
  • Data privacy and confidentiality considerations
  • Obtain written approval before implementing any AI-assisted analysis workflow.


Phase 3: Data Coding & Analysis

  • Code interview transcripts and qualitative responses.
  • Identify recurring themes, patterns, sentiments, and emerging issues.
  • Perform cross-interview comparisons.
  • Analyze findings by stakeholder group, topic area, demographic segment, or other relevant variables.
  • Validate coding consistency and thematic reliability.


Phase 4: Reporting

  • Develop summary findings and executive-level insights.
  • Prepare visualizations, matrices, and thematic summaries.
  • Produce written reports suitable for client presentation.
  • Present findings and recommendations to project leadership as requested.

Qualifications:

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Sociology, Anthropology, Psychology, Public Policy, Research Methods, or related field.
  • Minimum 5 years of experience conducting qualitative research and thematic analysis.
  • Demonstrated experience developing coding frameworks and codebooks.
  • Experience analyzing interview, focus group, and stakeholder engagement data.
  • Proficiency with qualitative analysis software such as NVivo, MAXQDA, Atlas.ti, Dedoose, Similar platforms
  • Experience utilizing AI-assisted research tools while maintaining methodological rigor.
  • Strong technical writing and reporting skills.


Preferred Qualifications

  • Advanced degree (Master’s or PhD).
  • Experience supporting public agencies, transportation organizations, workforce programs, higher education, or community engagement initiatives.
  • Experience integrating qualitative and quantitative data sources.
  • Familiarity with survey research and mixed-methods studies.


Deliverables

  • Qualitative analysis methodology document.
  • Coding framework and codebook.
  • AI utilization plan and written approval package.
  • Coded interview dataset.
  • Thematic analysis summary.
  • Executive findings report.
  • Presentation-ready summary materials.


Engagement Structure

  • Mainly remote. Work is based in Los Angeles.
  • Project-based with potential for additional assignments.
  • Estimated workload to be determined based on interview volume and timeline.


To Apply Requirements

Interested candidates should provide:

  1. Resume or CV.
  2. Relevant project examples.
  3. Description of qualitative research experience.
  4. Sample methodology or codebook (if available).
  5. Description of AI tools previously utilized for qualitative analysis.

About Company

A company that works with public agencies, nonprofits, and large firms. We design, manage and implement business and community programs.