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Entry Level 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 ...

Internal Revenue Service

Data Scientist

Fresno, CA · On-site +1

$106K - $172K/yr

Serves as a Data Scientist on advanced analytics projects by interpreting requirements ... such as Python, R, Tableau, SQL, Databricks, Graph Databases, and other modern analytics ...

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 ...

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Entry Level Python Data Analysis information

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$13

$32

$61

How much do entry level python data analysis jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for entry level python data analysis in Fresno, CA is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.54 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

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 Entry Level Python Data Analysis jobs in Fresno, CA? For Entry Level Python Data Analysis jobs in Fresno, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Fresno, CA look for? The top searched job categories for Entry Level Python Data Analysis jobs in Fresno, CA are:
What cities near Fresno, CA are hiring for Entry Level Python Data Analysis jobs? Cities near Fresno, CA with the most Entry Level Python Data Analysis job openings:
Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Fresno, CA as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,002 per year, or $32.7 per hour.
Data Production Engineer

Data Production Engineer

Hudson River Trading

London, CA

Other

Posted 9 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