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

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.

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.

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.

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 ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

Knowledge of scripting languages (Python, R, or similar) for advanced data processing and automation * Prior experience in workflow analysis and systems improvement to enhance stability and ...

Brighton

Data Engineer

City Of Industry, CA · On-site

$90K - $120K/yr

... and analytics, and we are looking for a Data Engineer to grow with us. Your work will directly ... You will bring technical depth across SaaS ETL, data warehouses, SQL, Python, and Excel/Google ...

Esri

Product Analyst

Redlands, CA · On-site

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

Esri

Product Analyst

Redlands, CA · On-site

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

Esri

Product Analyst

Redlands, CA

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 ...

VSolvit

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 ...

Danaher

Digital Analyst Internships

Pomona, CA · On-site

$100K - $118K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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 ...

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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 11, 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 Analyst

Senior Data Analyst

PM2CM

Pomona, CA • Hybrid

$86K - $109K/yr

Full-time

Medical

Re-posted 18 days ago

Job description

Job Summary:

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various projects within the organization. You will play a crucial role in developing insights from data, presenting findings, and providing actionable recommendations to enhance our business processes and project outcomes.

Hybrid work schedule (Wednesday and Thursday in the office).

Key Responsibilities:

  • Gather, clean, and analyze large datasets from multiple sources to identify trends and patterns.
  • Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders clearly and effectively.
  • Collaborate with project managers and cross-functional teams to understand data requirements and provide analytical support.
  • Utilize statistical tools and methodologies to interpret data and create meaningful reports that assist in decision-making.
  • Assist in the development and implementation of data collection processes to ensure accuracy and consistency across projects.
  • Provide insights and recommendations based on data analysis to improve project efficiency and effectiveness.
  • Conduct ad-hoc analysis and reporting as needed to support various business initiatives.
  • Stay updated on industry trends and advancements in data analysis techniques and tools.

Requirements

Qualifications:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Minimum of 5 years of experience in data analysis, preferably in a project management or business analyst role.
  • 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.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Ability to work independently as well as collaboratively in a fast-paced environment.

Join our PM2CM team and help us leverage data to enhance our project management and operational efficiency. If you are a driven and detail-oriented professional with a passion for data analysis, we encourage you to apply!

Benefits

100% paid health insurance.

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About PM2CM

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Torrance, CA, US

Year founded

2014

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