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

... for data extraction, transformation, validation, and analytics-ready dataset creation • Solid knowledge of Python or similar analytical programming languages for modeling and analysis • ...

... for data extraction, transformation, validation, and analytics-ready dataset creation • Solid knowledge of Python or similar analytical programming languages for modeling and analysis • ...

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 ...

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

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 ...

Senior Business Analyst

Brea, CA · On-site

$95K - $123K/yr

Proactively analyze retail, e-commerce platform,and user data to generate insights that drive ... Proficient in MySQL and Tableau; experience with Python isa plus. * Strong logical thinking ...

Required : • Minimum of four (4) years of experience in analytics, data science, and business ... Excellent interpersonal/ communication skills • Strong scientific Python skills using pandas ...

Business Analyst I

Ontario, CA · On-site

$66K - $95K/yr

Basic scripting experience in Python required for data cleaning, analysis, or automation tasks. * Familiarity with data quality practices (reconciliation, exception checks, source-to-report ...

Business Analyst I

Ontario, CA · On-site

$70K - $99K/yr

Basic scripting experience in Python required for data cleaning, analysis, or automation tasks. * Familiarity with data quality practices (reconciliation, exception checks, source-to-report ...

Business Analyst I

Ontario, CA · On-site

$70K - $99K/yr

Basic scripting experience in Python required for data cleaning, analysis, or automation tasks. * Familiarity with data quality practices (reconciliation, exception checks, source-to-report ...

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 ...

Data Engineer II - Street Data

Redlands, CA

$115K - $138K/yr

Develop and maintain processes to analyze routing requests for data-related errors and collaborate ... Proficiency in Python, SQL, and data-processing frameworks or orchestration tools (such as Apache ...

Be Seen First

The engineer partners with architects, application teams, analysts, BI developers, infrastructure ... SQL, Python, PySpark, Spark, batch processing, incremental processing, change data capture (CDC ...

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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.

What are the most commonly searched types of Python Data Analyst jobs in Fontana, CA?

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

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

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

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.

Product Analyst

Esri

Redlands, CA • On-site

Full-time

Re-posted 4 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 246 rated software companies


Job description

Job Summary:
Esri is a company dedicated to creating positive global change through GIS technology. They are seeking a Product Analyst to focus on advanced analytics and data-driven insights that influence product and business decision making, while supporting the analytical data models used by Product Analysts and Data Scientists.
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
Qualifications:
Required:
• 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.
Preferred:
• 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
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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