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Python Data Analyst Jobs in Fontana, CA (NOW HIRING)

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis. * Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure.

VSolvit

Data Analyst 1

Norco, CA

Experience or coursework using Python for data analysis or scripting. * Familiarity with Tableau ... Power BI, or a similar visualization tool. * Familiarity with SQL and relational databases. * Basic ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

Verified background in business analysis, data analysis, or any allied subject. ability to effectively examine data with programs and languages including R, Python, SQL, or Excel. skilled in the ...

VSolvit

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

Write Python scripts for data manipulation, analysis, reporting, and automation. * Use Python libraries such as Pandas, NumPy, and Matplotlib. * Write SQL queries to retrieve, combine, and validate ...

VSolvit

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

Experience or coursework using Python for data analysis or scripting. * Familiarity with Tableau ... Power BI, or a similar visualization tool. * Familiarity with SQL and relational databases. * Basic ...

PM2CM

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

CACI

Data Analyst with Security Clearance

Riverside, CA · On-site

$142K/yr

Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis. * Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure.

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 ...

Brighton

Data Engineer

City Of Industry, CA

$90K - $120K/yr

... analysts and business stakeholders to understand requirements and translate business problems into reliable data solutions. Technical experience we're looking for * Strong SQL and Python.

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Fontana, CA

Python Data Analyst information

See Fontana, CA salary details

$34.6K

$84K

$138.3K

How much do python data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for python data analyst in Fontana, CA is $84,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $84,016 per year, or $40.4 per hour.