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

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 ...

Yami

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 ...

FocusKPI

Marketing Operations Analyst

Pomona, CA · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

IEHP

Data Scientist II

Rancho Cucamonga, CA · On-site

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

San Manuel Casino

Data Engineer

Highland, CA

$113K - $136K/yr

Bachelor's degree in data science, Data Analytics, Statistics, Data Management, Business, Economics ... Fundamental level of Scripting Python or R Experiences required. * Fundamental level of SAS ...

Yuhaaviatam of San Manuel Nation

Data Engineer

Highland, CA · On-site

$113K - $136K/yr

Bachelor's degree in data science, Data Analytics, Statistics, Data Management, Business, Economics ... Fundamental level of Scripting Python or R Experiences required. * Fundamental level of SAS ...

San Manuel Band of Mission Indians

Data Engineer

Highland, CA · On-site

$113K - $136K/yr

Bachelor's degree in data science, Data Analytics, Statistics, Data Management, Business, Economics ... Fundamental level of Scripting Python or R Experiences required. * Fundamental level of SAS ...

PHS Bio-Medical Services

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 ...

Prime Healthcare

Business Analyst I

Ontario, CA

$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 ...

twenty80.io

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

Perform root cause analysis on data issues and implement corrective and preventive solutions ... Python, Java, or C# (plus SQL required) * Experience with cloud data platforms, particularly Azure ...

CWILL

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

This is not a pure data analysis, BI reporting, or one-off scripting role. It is a comprehensive ... Python for API integration, data processing, automation scripting, and file handling • ...

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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 Jul 13, 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.

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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Fontana, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $84,016 per year, or $40.4 per hour.

Senior Data Engineer Lead / Architect (Microsoft Fabric & Ontologies)

Spadtek Solutions LLC

Corona, CA • On-site

$69.50 - $92.75/hr

Other

Posted 3 days ago

New

Job description

Job Title: Senior Data Engineer Lead / Architect (Microsoft Fabric & Ontologies)

Location: Corona, CA (Onsite)

Role Overview

We are seeking senior-level professionals with strong hands-on experience in Microsoft Fabric, Python, and Semantic Data Modelling/Ontologies. The ideal candidate will have proven expertise in designing scalable data platforms, building semantic layers, and enabling business insights through modern data engineering practices.

Key Responsibilities

  • Design, develop, and optimize data solutions using Microsoft Fabric.
  • Build and manage data pipelines, Lakehouses, Warehouses, and analytics workloads.
  • Develop semantic models, ontologies, and knowledge representations to support business use cases.
  • Implement data engineering solutions using Python and modern data frameworks.
  • Collaborate with business and technical stakeholders to translate requirements into scalable data architectures.
  • Ensure data quality, governance, metadata management, and semantic consistency across data assets.
  • Support advanced analytics, AI/ML, and enterprise data initiatives.

Required Skills

  • 12+ years of experience in Data Engineering and Analytics.
  • Strong hands-on expertise in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI, OneLake).
  • Experience with IQ/Ontologies, Semantic Modeling, Knowledge Graphs, or related semantic technologies.
  • Advanced Python programming skills for data processing and automation.
  • Strong understanding of Data Architecture, ETL/ELT, Data Modeling, and cloud-native analytics platforms.
  • Experience working directly with business stakeholders and enterprise-scale data ecosystems.

Preferred Qualifications

  • Experience with Knowledge Graphs, Metadata Management, and Semantic Search solutions.
  • Exposure to AI/GenAI-enabled data platforms.
  • Microsoft Fabric and Azure certifications preferred.

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