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

CACI International, Inc.

Data Analyst

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.

Strategic Employment

Data Analyst

Irvine, CA · Hybrid

... Python for scripting, automation, or data processing tasks • Interest or exposure to AI/LLM tools, prompt workflows, or automation processes using modern AI platforms • Strong communication ...

Strategic Employment

Data Analyst

Irvine, CA · Hybrid

... Python for scripting, automation, or data processing tasks • Interest or exposure to AI/LLM tools, prompt workflows, or automation processes using modern AI platforms • Strong communication ...

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 · 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.

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.

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Python, SQL, or similar data analysis tools • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) • Strong problem-solving ability and attention to detail ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Python, SQL, or similar data analysis tools • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) • Strong problem-solving ability and attention to detail ...

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 ...

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

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Showing results 1-20

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 Jun 15, 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.

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 popular job titles related to Python Data Analyst jobs in Irvine, CA? For Python Data Analyst jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Irvine, CA look for? The top searched job categories for Python Data Analyst jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Python Data Analyst jobs? Cities near Irvine, CA with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Irvine, CA as of June 2026, with employment types broken down into 3% As Needed, 39% Full Time, 48% Part Time, 9% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $88,705 per year, or $42.6 per hour.

Data Analyst (North American Quality Center - NAQC)

Hyundai Motor Company

Irvine, CA • On-site

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Data Analyst
Hyundai's North American Quality Center (NAQC) is looking for a Data Analyst for the Strategy and Analysis 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 Data Analyst will support business operations by analyzing data, identifying trends, developing reports, and deliver actionable insights that drive quality improvements on Hyundai, Genesis, and Kia vehicles in North America. Collaborate 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.
  • 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 topic generation and/or enrich existing datasets with generated features classification tasks.
  • Maintain reporting systems, dashboards and performance metrics that support key business decisions
  • Complete ad hoc data insights/requests as needed to support company goals.
  • Work with a moderate level of autonomy to achieve company goals
  • Communicate results and business impacts within the team and to management.
  • Collaborate with cross-functional teams and affiliates
  • Engage in on-the-job learning and follow best data practices.

What You Will Bring to the Role
  • Basic Qualifications:
    • Bachelor's degree in a quantitative field such as engineering, data science, computer science, business, math, or economics is preferred.
    • YOE for Engineer level I and II in data analysis or related field.
    • Solid foundation in data analysis and statistics.
    • Proficiency in SQL. Python or R are a plus.
    • Prior experience with data analytics tools, text mining tools, and data visualization software a plus.
    • Proficiency in MS Office, specializing in Excel, PowerPoint, Word, and Teams.
    • Strong written, oral, and interpersonal skills.
    • Must possess a strong analytical mindset.
    • Able to recognize the needs of the end user and create reproducible solutions that answer those needs quickly and efficiently.
    • Ability to explain technical topics to both technical and non-technical stakeholders
  • 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 industry experience
    • Prior experience with automotive survey data a strong plus.
    • Understanding of vehicle systems
    • Alteryx, Tableau, or Python Data Science certification

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: $75,000 ~ $90,000/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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