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Entry Level Python Data Analysis Jobs in Irvine, CA

Mazda Motor Corporation

Data Scientist

Irvine, CA · On-site +1

The Data Scientist is responsible for mining big data, interpreting and analyzing highly complex ... Programming experience (Python, R, SQL). * at least one year of experience working with senior ...

Monster Energy

Manufacturing Data Analyst

Norwalk, CA · On-site

$70K - $78K/yr

In the position of Manufacturing Data Analyst, you will support manufacturing operations by ... Write and maintain scripts and queries (Python, SQL) to automate data collection, standardize ...

Boot Barn

Data Scientist

Irvine, CA · On-site

... • Conduct exploratory data analysis, statistical modeling, causal inference, and A/B ... Python code for model training and experimentation using libraries and frameworks such as pandas ...

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Entry Level Python Data Analysis information

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$35

$66

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

As of Jul 23, 2026, the average hourly pay for entry level python data analysis in Irvine, CA is $35.34, according to ZipRecruiter salary data. Most workers in this role earn between $22.69 and $39.47 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 Irvine, CA? The most popular types of Python Data Analysis jobs in Irvine, CA are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Irvine, CA? For Entry Level Python Data Analysis jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Irvine, CA look for? The top searched job categories for Entry Level Python Data Analysis jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Entry Level Python Data Analysis jobs? Cities near Irvine, CA with the most Entry Level Python Data Analysis job openings:
Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Irvine, CA as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,514 per year, or $35.3 per hour.
Data Scientist

Data Scientist

Mazda Motor Corporation

Irvine, CA • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description
The Data Scientist is responsible for mining big data, interpreting and analyzing highly complex data sets from multiple sources using a variety of techniques to aid Mazda North American Operations in making smarter business decisions.
The individual in this role utilizes expertise in data analysis, statistical modeling, and machine learning to unravel patterns, forecast trends, and uncover valuable information from diverse datasets to support business solutions.
In this role collaboration with stakeholders across the organization is essential to harness data and identify opportunities for leveraging company data to drive business solutions. The focus centers on wrangling large datasets from disparate sources, undertaking exploratory data analyses, identifying causal impact and attribution, and evaluating the effects of various campaigns, the development and application of data models and algorithms are critical to efficiently deploy new ideas as required by business teams.
Major Areas of Responsibility:
Data Science, Research & Analysis - 65%
  • Collects, preprocesses, and analyzes large datasets from various sources to extract meaningful insights and patterns.
  • Develops and deploys predictive models in order to analyze company performance, optimize maintenance schedules, and improve customer experiences.
  • Applies advanced statistical techniques and machine learning algorithms to identify correlations, anomalies, and trends within Mazda data.
  • Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions into our products and services.

Data Analytics Liaison - 20%
  • Advises organization on data science technologies and algorithms.
  • Advises and assists internal customers in resolving data-related issues while fostering data literacy.
  • Creates awareness of data products across the company.
  • Educates business partners on the critical nature of Data Science and how it provides value to their business, objectives, and goals; Create high level data competency.
  • Serves as a SME for a specific area of data science for business partners.

Process Improvement - 15%
  • Remains up to date on industry standards, latest industry trends, best practices, and the evolving landscape of analytics.
  • Serves as a technical mentor to the data science team.

Qualifications and Other Requirements:
Education:
  • Bachelor's degree in Math, Statistics, Econometrics, Operations Research, Computer Science, Engineering or related field of study, or equivalent combination of education, training, and work experience.
  • Master's in a quantitative discipline highly preferred

Experience:
  • Minimum of three (3) years hands-on work experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, to include:
    • visual analytics development and presentation.
    • data handling platforms (Hadoop, Spark, Hive, Power Pivot, Alteryx, SQL) and one or more data visualization packages (Tableau, Power BI).
    • Programming experience (Python, R, SQL).
    • at least one year of experience working with senior stakeholders and non-technical business leaders.

Preferred but not required:
  • Prior work experience in marketing analytics.

Training/Certification:
  • Certifications and/or coursework in specific data science techniques and algorithms preferred.

Knowledge/Skills/Abilities:
  • Proven proficiency in statistical data analysis and data mining packages (e.g., R, NumPy, Pandas, TensorFlow, SciKit-Learn, SPSS, Alteryx, MatLab, STATA, Excel).
  • Working knowledge of data management tools including SQL/RDBMS, NoSQL (e.g., MongoDB), Hadoop and/or other big data technologies.
  • Advanced programming skills in at least one of Java, Python, R, C++, C#, etc.
  • Experience linking multiple data platforms with data visualization tools (e.g., PowerBI, Tableau)
  • Experience with marketing analytic models (attribution modeling, media mix models, etc.) preferred.
  • Knowledge of digital marketing analytics (Adobe, Google Analytics, Webtrends, DoubleClick, Atlas, etc.), and digital tag management. Direct experience with Adobe/Omniture a plus.
  • Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions.
  • Ability to communicate and present technical content in an easy-to-understand way.
  • Strong presentation skills.
  • Ability to produce timely deliverables and manage multiple and shifting priorities in a dynamic environment.
  • Proficiency with computer applications, including Microsoft Excel, Word, Project, PowerPoint and Outlook, as well as the ability to learn and effectively utilize other software applications used within the Company.
  • Well-balanced interpersonal skills; Must be able to establish and maintain effective working relationships with all levels of management, employees, customers, and outside vendors; Must be able to clearly and effectively communicate both orally and in writing, using good grammatical form, both in general correspondence, as well as on technical issues.
  • Must be analytical and a problem solver with the ability to identify problems and/or cause-effect relationships; identify key issues; secure relevant information from all appropriate sources; identify possible root causes of problems and develop and implement corrective actions for resolution.
  • Strong organizational skills and the ability to prioritize tasks are essential. Must be able to establish a course of action for self and others/department to accomplish specific goals; must plan and prioritize proper assignments of personnel and/or appropriate allocation of resources.
  • Self-motivated and capable of working with minimal supervision and/or direction.

Travel:
May be required 1 - 2 times per year
#LI-Remote
We support Remote work in the following states:
Alabama, Arizona, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin
Pay Range
$95,500.00 - $145,675.00
Salary to be determined by education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data.
Learn more about MNAO's comprehensive benefits package here

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