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

OCVIBE

Data Scientist

Anaheim, CA

$100K - $140K/yr

Own the full analytical lifecycle, from problem definition and data extraction through modeling ... Production-grade Python and advanced SQL experience, with strong attention to performance ...

Anaheimducks

Data Scientist

Anaheim, CA

$100K - $140K/yr

Own the full analytical lifecycle, from problem definition and data extraction through modeling ... Production-grade Python and advanced SQL experience, with strong attention to performance ...

Monster Energy

Senior Category Analyst

Corona, CA · On-site

$90K - $120K/yr

Become subject matter expert on all sales data and employ tools such as R and Python to find hidden ... Identify, analyze and interpret trends or patterns in complex data sets. * Present interpretation ...

Rosendin

Senior Market Intelligence Analyst

Anaheim, CA · On-site

$91K - $120K/yr

Provide external market research, data, and trends to the corporate strategy team and other ... Experience with statistical analysis software (e.g., R, Python, SPSS) is a plus Travel: · Up to ...

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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 Jun 16, 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
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 are popular job titles related to Python Data Analyst jobs in Fontana, CA? For Python Data Analyst jobs in Fontana, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Fontana, CA look for? The top searched job categories for 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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Fontana, CA as of June 2026, with employment types broken down into 3% As Needed, 36% Full Time, 49% Part Time, 1% Temporary, 10% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $84,016 per year, or $40.4 per hour.

Data Scientist

ocV!BE Sports & Entertainment, LLC

Anaheim, CA • On-site

$100K - $140K/yr

Full-time

Posted 14 days ago

Job description

A great experience starts with you!
Join our team to help create and develop the future of live entertainment and sports in Orange County!
Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.
Mission: To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.
Vision: We will be the social and entertainment center of Orange County - a place where the cultural kaleidoscope of the region converges and connects. Our vibrant, rich collection of experiences will celebrate the diversity of our community.
Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold
Job Title:
Data Scientist
Pay Details:
The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate's geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.
The Data Scientist is responsible for owning the full analytical lifecycle, from problem definition and data extraction through modeling, experimentation, and stakeholder presentation. This role defines and tracks the metrics that measure business performance, designs experiments that produce defensible recommendations, and builds the Power BI dashboards business teams depend on daily, while partnering with cross-functional teams to translate business objectives into data problems and findings into decisions.
Responsibilities
  • Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation
  • Define, instrument, and track metrics that measure business initiative success and drive decision-making across the organization
  • Design and execute experiments end-to-end, including hypothesis formation, test design, execution, and translation of results into clear, defensible recommendations
  • Build and maintain Power BI dashboards that give business teams a trusted, self-serve view of performance data
  • Develop and deploy analytical models, including regression, classification, forecasting, or clustering, in real-world production context
  • Apply AI and LLM-powered tooling to accelerate data workflows and give business teams faster answers from complex data
  • Partner with cross-functional teams to translate business objectives into data problems and data findings into decisions

Qualifications
  • 3-5 years of hands-on analytical experience delivering production-grade work
  • Academic background in hard science, such as physics, mathematics, computer science, engineering, or a related quantitative field
  • Production-grade Python and advanced SQL experience, with strong attention to performance, reproducibility, and maintainable code
  • Practical experience applying statistics, including building and validating models, diagnosing failures, and explaining results to non-technical stakeholders without losing rigor
  • Hands-on experience with Power BI or equivalent tools, including dashboards others depend on daily, not proof-of-concepts
  • Demonstrated AI fluency, including experience building something with LLMs or generative AI in a real context, not just following a tutorial
  • Strong written and verbal communication skills, with the ability to present complex findings clearly to any audience
  • AI-native mindset, with experience using AI-assisted tooling as a genuine productivity multiplier, not a novelty

Knowledge, Skills, and Experience
Education - Bachelor's Degree
Experience Required - 3-5 Years
This position is on-site.
Company:
OC Sports & Entertainment, LLC
Our Commitment:
We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws. We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.
Thanks for your interest in becoming part of OCVIBE!

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