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Freelance Python Data Analysis Jobs in Los Angeles, CA

Solomon Page

SEO Data Analyst

West Hollywood, CA · On-site

$55/hr

This freelance role will run until June 2027 and will be fully onsite in their LA office. * Pay ... Pull, validate, and synthesize data from multiple sources to support SEO analysis and reporting ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with Microsoft SharePoint and the broader Microsoft ...

CorVel Corporation

Data Analyst III

Irvine, CA · On-site

$95 - $120/hr

... STATA, MATLAB, Python, etc. with the ability to utilize the language for data manipulation, statistical analysis, and automation * Understanding of Project Management principles and SDLC

CorVel Career Site

Data Analyst III

Irvine, CA · Hybrid

... STATA, MATLAB, Python, etc. with the ability to utilize the language for data manipulation, statistical analysis, and automation * Understanding of Project Management principles and SDLC

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous. * Basic understanding of ...

Scale Inc

Data Analyst

Burbank, CA · Remote

Experience Level: 3 years of specific Data Analysis experience. (We are not looking for Junior ... Python who can adapt quickly. * ELT Familiarity: Awareness of how ELT tools (like Hevo, Fivetran ...

City National Bank

Data Analyst

Los Angeles, CA · On-site

$60K - $104K/yr

Using SQL, Python, Tableau, Snowflake, Excel, AI tools, and other analytics technologies, the role contributes to the team's evolving data strategy while exercising judgment on high-priority and ...

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How much do freelance python data analysis jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance python data analysis in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

What are the most commonly searched types of Python Data Analysis jobs in Los Angeles, CA?

The most popular types of Python Data Analysis jobs in Los Angeles, CA are:

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For Freelance Python Data Analysis jobs in Los Angeles, CA, the most frequently searched job titles are:

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Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Los Angeles, CA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $131,384 per year, or $63.2 per hour.

Data Analyst / CDP Developer

iSpace, Inc

Torrance, CA • On-site

Other

Posted 11 days ago

Key responsibilities

  • Analyze customer data, event, and large-scale datasets to generate insights, validate data quality, and support business decision-making.

  • Operate CDP workflow orchestration tools to manage data pipelines and scheduled jobs, and troubleshoot data pipeline failures and workflow errors.

  • Collaborate with cross-functional teams to define data requirements, ensure data accuracy, and support the integration and management of customer data platform solutions.

Job description

Title: Data Analyst / CDP Developer Location: Torrance, CA Duration: 6 Months
JOB RESPONSIBILITIES
Data Analysis and Development

  • Analyze customer data, event, and large-scale datasets to generate insights, validate data quality, and support business decision-making.
  • Write, optimize, and maintain advanced SQL queries across Presto, Hive, and NoSQL systems.
  • Use Python to support data processing, automation, workflow operations, and API integrations.
  • Work within cloud platforms (primarily AWS) and apply general cloud data architecture principles.
  • Perform exploratory data analysis to validate assumptions, identify anomalies, and support stakeholder requirements.
  • Document data processes, business rules, logic, and workflows in Confluence or similar platforms.
  • Collaborate with engineering, analytics, marketing, CRM teams, and SMEs to define data requirements and ensure accuracy.
  • Operate CDP workflow orchestration tools (e.g., Digdag, TD Workflows) to manage pipelines and scheduled jobs.
  • Enhance and monitor data quality frameworks including validation checks, alerts, and pipeline observability.
  • Follow CI/CD and Git-based version control best practices for SQL, scripts, and documentation.
  • Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII).
  • Solve end-to-end data challenges from ingestion through transformation to analysis and activation.
  • Maintain rigorous attention to detail, especially with customer-level and production data.
  • Proactively improve automation, data quality, workflow reliability, and system performance.
  • Communicate insights and technical concepts clearly to both technical and non-technical audiences.
  • Partner with SMEs to understand business context, refine requirements, and validate solution accuracy

Troubleshooting & Support

  • Diagnose and resolve data pipeline failures, ingestion issues, and workflow errors in a timely manner.
  • Perform root cause analysis using logs, pipeline metadata, and system monitoring tools.
  • Support production environments by monitoring scheduled jobs, validating outputs, and ensuring data accuracy and availability.
  • Implement fixes, patches, and process improvements to prevent recurring problems.
  • Maintain clear documentation of issues, resolutions, and preventive actions to strengthen operational reliability.

WHAT THIS PERSON WILL BE WORKING ON
As a Data Analyst / CDP Developer, the candidate will support the customer data platform (CDP), improve data quality, implement scalable data solutions, and address end to end data challenges. This role requires advanced SQL development, CDP integration, pipeline operations, and troubleshooting across large scale datasets. The ideal candidate is highly analytical, detail oriented, and thrives in a fast paced, cross functional environment
WANTS
Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.

  • 5+ of combined experience across data analysis, data engineering, or data operations.
  • Advanced SQL and Query Optimization (Presto, Hive, NoSQL)
  • Expertise in writing complex SQL queries optimizing them for large-scale datasets.
  • Experience with Customer Data Platforms (CDP) and CRM Systems
  • Hands-on experience integrating and managing CDP solutions and CRM platforms to unify and activate customer data.
  • Strong SQL expertise, including complex joins, window functions, CTEs, performance optimization.
  • Proficiency with Python for data processing, automation, and APIs.
  • Experience working with customer data, event data, and large-scale datasets.
  • Familiarity with cloud environments such as AWS, Google Cloud Platform, or Azure (S3, IAM, data storage concepts).
  • Ability to perform exploratory analysis, validate data quality, and present insights to stakeholders.
  • Understanding of data modeling, schema design, identity resolution, and profile unification.
  • Comfortable documenting processes, transformations, and analytical logic in Confluence or similar platforms.
  • Strong communication skills and the ability to work with cross-functional teams
  • Hands-on experience with Treasure Data CDP or similar CDPs (Treausure Data Amperity, mParticle, Tealium etc).
  • Experience with workflow orchestration tools (Digdag Workflows).
  • Experience with data quality frameworks, monitoring, alerting, and pipeline observability.
  • Experience with CI/CD, Git, and version control best practices.
  • Understanding of privacy and compliance (GDPR, CCPA, PII handling).
  • Provide support to production environment
  • Strong problem-solving skills and the ability to deliver end-to-end solutions from data ingestion to analysis.
  • Excellent attention to detail, especially when working with customer-level and production data.
  • Proactive mindset for improving data quality, automation, and system reliability.
  • Ability to collaborate closely with Subject Matter Experts (SMEs) to understand domain context, validate requirements, and ensure the accuracy and alignment of data solutions.

John Prashanth

Senior Analyst-Talent Acquisition
iSpace, Inc.

Information Technology Services Company

840 Apollo Street, Suite 100, El Segundo, CA 90245

Office:

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