ZipRecruiter

Log In

1

Freelance Python Data Analysis Jobs in Fresno, CA

Danaher

Digital Analyst Internships

Fresno, CA · On-site

$97K - $115K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Fresno, 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

Fluor Corporation

Construction Engineer II

Fresno, CA · On-site

... of SQL, Python, or other data analysis tools • Experience supporting reporting and analytics in complex, multidisciplinary environments Company : Fluor Corporation is a global engineering ...

next page

Showing results 1-20

All JobsPython Data Analysis JobsFreelance Python Data Analysis JobsFreelance Python Data Analysis Jobs in Fresno, CA

Freelance Python Data Analysis information

See Fresno, CA salary details

$13

$58

$85

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

As of Jul 27, 2026, the average hourly pay for freelance python data analysis in Fresno, CA is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 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, and why are they important?

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 Fresno, CA? The most popular types of Python Data Analysis jobs in Fresno, CA are:
What are popular job titles related to Freelance Python Data Analysis jobs in Fresno, CA? For Freelance Python Data Analysis jobs in Fresno, CA, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Fresno, CA look for? The top searched job categories for Freelance Python Data Analysis jobs in Fresno, CA are:
What cities near Fresno, CA are hiring for Freelance Python Data Analysis jobs? Cities near Fresno, 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 Fresno, CA as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.
Data Production Engineer

Data Production Engineer

Hudson River Trading

London, CA • On-site

Other

Posted 13 days ago

Job description

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

  • Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
  • Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
  • Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
  • Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

  • Track record of being detail-oriented and thorough
  • You excel in problem solving and researching large datasets to resolve complex issues
  • You have a collaborative attitude that lends itself to cross-team customers and projects 
  • You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

  • 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
  • Experience in Python strongly preferred 
  • Experience managing ETL pipelines is a plus
  • Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
  • Comfortable with the Linux command line
  • Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
  • Able to provide technical support in a production trading environment

Apply