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Entry Level Python Data Analysis Jobs in Fontana, CA

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 ...

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ... Perform advanced data analysis, including cleaning, structuring, and interpreting large datasets to ...

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 ...

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 • ...

... Data Scientists for advanced analysis and modeling • Partner closely with Product Analysts and ... of Python or similar analytical programming languages for modeling and analysis • Familiarity ...

... Data Scientists for advanced analysis and modeling • Partner closely with Product Analysts and ... of Python or similar analytical programming languages for modeling and analysis • Familiarity ...

Digital Analyst Internships

Pomona, CA · On-site

$100K - $118K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for entry level python data analysis in Fontana, CA is $33.47, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $37.40 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

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

Full-time

Posted 9 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

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 application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.