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

Experian

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data * Design and ... Interpret results of analyses, identify trends and issues and recommend alternatives to support our ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Irvine, CA

Python Data Analyst information

See Irvine, CA salary details

$36.5K

$88.7K

$146K

How much do python data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for python data analyst in Irvine, CA is $88,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $104,100.00 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.
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Python Data Analyst jobs near you

Sr. Data Analyst (North America Quality Center - NAQC)

Hyundai Motor Company

Irvine, CA

$115K - $155K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Sr. Data Analyst

Hyundai's North America Quality Center (NAQC) is looking for a Senior Data Analyst for the Quality Analytics & Reporting Team.

The Team:

NAQC is the quality arm for Hyundai Motor Group (HMG)'s North American vehicle models. NAQC seeks to further Hyundai's goal of becoming the leading automotive manufacturer in North America by delivering uncompromising quality and exceeding consumer expectations. 

The Position:

The Sr. Data Analyst would bridge business questions with data analysis to deliver actionable insights that drive quality improvements on Hyundai, Genesis, and Kia NA vehicles, in addition to collaborating with cross-functional and global teams to monitor quality issues, analyze external quality indicators and customer data, and escalate emerging quality cases 

What You Will Do:
  • Understand and follow the department's business model, strategic direction, purpose, and mission
  • Apply deep analytical skills to blend, process, and explore complex datasets to aid in knowledge discovery, BI-reporting, and predictive modeling activities
  • Utilize internal and external data to identify and break down automotive quality problems. Deliver clear problems with targets for the Investigation and New Model Teams to investigate.
  • Utilize text mining tools for generating topics and/or enriching existing datasets with generated features classification tasks
  • Partner with the Investigation and New Model Teams to scope and deliver data analysis projects
  • Design, build, automate, and maintain reporting systems, dashboards, and performance metrics that support key business decisions
  • Complete ad hoc data insights/requests as needed to support company goals
  • Communicate results and business impacts to stakeholders within the company and affiliates
  • Support the Strategy and Analysis Manager
  • Mentor junior analysts, facilitate on-the-job learning, and ensure best data practices are being followed
  • Travel up to 10% of the time, both domestically and internationally
What You Will Bring to the Role:
  • Basic Qualifications:
    • Bachelor's degree in data science, computer science, business analytics, economics, mathematics, statistics, an engineering-related discipline, or a related field of study
    • 7+ years of experience working with/performing data analysis and creating forecasting models
    • Strong SQL, Python, and R data analysis skills
    • Proficiency with various data preparation and analytics tools, text mining tools, and data visualization software
    • An ability to recognize the needs of the end-user(s) and create reproducible solutions that answer those needs quickly and efficiently
    • Advanced proficiency in Microsoft programs, such as Excel, Outlook, PowerPoint, Teams, and Word
    • A strong analytical mindset
    • Excellent time management, self-management, and organization skills
    • Good written, oral, interpersonal, and leadership skills
    • Ability to explain technical topics to both technical and non-technical stakeholders
    • Valid Driver's License and a satisfactory driving record
  • Preferred Qualifications:
    • Master's degree in data science, computer science, business analytics, economics, mathematics, statistics, an engineering-related discipline, or a related field of study
    • Automotive engineering experience
    • Knowledge of vehicle systems
    • Experience working with and analyzing automotive survey data
    • Familiarity with Alteryx and Tableau
    • Experience working with text analytics
What Hyundai Can Offer You:
  • Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
  • 100% Employer-paid Disability and Life Insurance
  • Generous Paid Time Off, Including Vacation, Sick, and Abundant Holidays
  • Competitive Salaries
    • Range of Position: $115,000 ~ $155,000/Year
  • A Global Environment that Fosters Diversity
  • Retirement Savings and Planning Benefits
  • Access to Health Savings Accounts and Flexible Spending Accounts 
  • Flexible Work Hours
  • Fully On-Site Position
     
Other Details:
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRAA Federal contractor.

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