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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 · On-site

$61K - $141K/yr

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

EVGATEWAY INC

Be Seen First

System Analyst Intern -EvGateway

Foothill Ranch, CA · On-site

$18 - $22/hr

System Analyst Intern - EvGateway Position Type: Part-Time (Internship - 90-Day Probation) This ... Data Analysis & Reporting * Analyze operational, deployment, and charger performance data.

Booz Allen Hamilton, Inc.

Cost Analyst

San Diego, CA · On-site

$61K - $141K/yr

If you are ready for an opportunity to apply and grow your data analysis skills, then there is a ... Conduct advanced statistical analysis using scripting languages, including Python or R. * Analyze ...

Booz Allen Hamilton, Inc.

Cost Analyst

San Diego, CA · On-site

$61K - $141K/yr

If you are ready for an opportunity to apply and grow your data analysis skills, then there is a ... Conduct advanced statistical analysis using scripting languages, including Python or R. * Analyze ...

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All JobsPython Data Analysis JobsPart Time Python Data Analysis JobsPart Time Python Data Analysis Jobs in California

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.
What are the most commonly searched types of Python Data Analysis jobs in California? The most popular types of Python Data Analysis jobs in California are:
What are popular job titles related to Part Time Python Data Analysis jobs in California? For Part Time Python Data Analysis jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in California look for? The top searched job categories for Part Time Python Data Analysis jobs in California are:
What cities in California are hiring for Part Time Python Data Analysis jobs? Cities in California with the most Part Time Python Data Analysis job openings:
Part Time Python Data Analysis jobs near you
Qualitative Researcher - Data Analysis

Qualitative Researcher - Data Analysis

Redwood Resources

Los Angeles, CA • On-site

Part-time

Posted 23 days ago

Job description

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.
Responsibilities
$41
Qualifications
$42

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