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Freelance Python Data Analysis Jobs in Fontana, CA

Esri

Product Analyst

Redlands, CA · On-site

$70K - $110K/yr

Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset creation * Solid knowledge of Python or similar analytical programming languages for modeling and ...

Apidel Technologies

Analyst-Systems 4

Pomona, CA

Strategic Insights-based data analysis using various analytical tools and programming languages, Python, Power Automate, Power BI, etc. Data Mining: identify, extract, and gather data from various ...

Samyang America, Inc.

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

... analysts. Qualifications : Required : • 3-6+ years of experience in data engineering or data pipeline development. • Strong proficiency in SQL and at least one programming language (Python ...

Prescient Edge

Senior Scientist

Riverside, CA · On-site

$95K - $130K/yr

Data analysis and modeling tools (general familiarity). * Programming or scripting languages (Python, R, or similar). * Data visualization and analytics platforms. * Collaboration tools such as Teams ...

FocusKPI

Marketing Operations Analyst

Pomona, CA · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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

As of Aug 17, 2026, the average hourly pay for freelance python data analysis in Fontana, CA is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 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 freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

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 Fontana, CA?

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

What job categories do people searching Freelance Python Data Analysis jobs in Fontana, CA look for?

The top searched job categories for Freelance Python Data Analysis jobs in Fontana, CA are:

What cities near Fontana, CA are hiring for Freelance Python Data Analysis jobs?

Cities near Fontana, CA with the most Freelance Python Data Analysis job openings:

Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Fontana, CA as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $123,962 per year, or $59.6 per hour.

Product Analyst

Esri

Redlands, CA • On-site

$70K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Overview
Come join our Product Analytics team at Esri! The Product Analyst focuses on advanced analytics and data-driven insight generation to influence product and business decision making. This role plays a key part in supporting and shaping the analytical data models used by Product Analysts and Data Scientists, ensuring data is structured, reliable, and fit for deep analytical and modeling work.
In this role you will initially support both analytical investigations and the analytical data model needs of the Product Analytics team. Over time, the role is expected to take on increased responsibility for designing and building scalable, reusable analytical data assets that enable consistent, high-quality analysis across Product Analysts and Data Scientists.
You will serve as a critical bridge between business context, advanced analytics, and analytics engineering, translating ambiguous product and business questions into robust analytical approaches and the underlying data structures needed to support them.
Responsibilities
  • Design, build, and maintain analytics-focused data models that support the needs of Product Analysts and Data Scientists for advanced analysis and modeling
  • Partner closely with Product Analysts and Data Scientists to translate analytical requirements into well-structured datasets and metrics
  • Contribute to the maturation of analytics engineering practices within Product Analytics, including scalable dataset design, metric logic, and operational support for analytical data assets
  • Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth
  • Create executive ready reports, and deep analyses that clearly communicate analytical insights, limitations, and recommendations to stakeholders across technical and non-technical audiences
  • Collaborate with other internal stakeholders - Business Managers, Product Managers, and other internal stakeholders to translate ambiguous business questions into structured analytical approaches
  • Partner with technical leads and cross-functional data teams to support the evolution of Product Analytics data capabilities within Microsoft Fabric and related platforms

Requirements
  • 2+ years of experience in product analytics, advanced data analysis, or business analytics roles, with a strong foundation in analytical reasoning, statistics, and data modeling
  • Demonstrated experience building and supporting curated analytical datasets and data models used by analysts or data scientists for downstream analysis
  • Proven ability to translate strategic and ambiguous questions into analytical frameworks and model requirements
  • Experience working with large, multi-source product usage or telemetry-style data; ensuring reliability of analytical datasets, including data validation, QA and reconciliation
  • Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset creation
  • Solid knowledge of Python or similar analytical programming languages for modeling and analysis
  • Familiarity with analytics enablement concepts, including semantic models, reusable metric logic, self-service dataset support, and scheduled data workflows or pipeline operationalization
  • Advanced Proficiency in Power BI (including analytical datasets and complex measures) and Microsoft Excel
  • Exceptional communication, presentation, and organizational skills; ability to adapt communication style and message based on audience (peers, stakeholders, executives)
  • Bachelor's degree in business analytics, statistics, mathematics, economics, computer science, or a related field
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications
  • Prior experience supporting analytics and predictive modeling for software products
  • Hands-on experience building predictive, forecasting, or scenario-based models
  • Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements
  • Prior experience working in Microsoft Fabric environment

#LI-Onsite
#LI-DV2
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$70,304-$110,240 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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