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

Data Analyst

Riverside, CA ยท 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.

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.

Data Analyst

Irvine, CA ยท On-site

Perform data analysis to explain trends, anomalies, and root causes ... Write and execute queries to pull data from multiple sources (SQL, Python). * Apply statistical ...

DATA ANALYST 1

Norco, CA ยท On-site

$33.17 - $42.31/hr

Experience or coursework using Python for data analysis or scripting. * Familiarity with Tableau ... Power BI, or a similar visualization tool. * Familiarity with SQL and relational databases. * Basic ...

Experience or coursework using Python for data analysis or scripting. * Familiarity with Tableau ... Power BI, or a similar visualization tool. * Familiarity with SQL and relational databases. * Basic ...

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 ...

BUSINESS DATA ANALYST 2

Norco, CA ยท On-site

$88K - $120K/yr

Write Python scripts for data manipulation, analysis, reporting, and automation. * Use Python libraries such as Pandas, NumPy, and Matplotlib. * Write SQL queries to retrieve, combine, and validate ...

Sr Data Analyst

Newport Beach, CA ยท On-site

$92K - $116K/yr

Strong hands-on experience in data analysis using SQL, Python, and data profiling techniques to identify anomalies, data quality issues, gaps, and inconsistencies across source and target systems.

... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ... and automation * Understanding of Project Management principles and SDLC * Understanding of machine ...

Data Analyst III

Irvine, CA ยท On-site

$92K - $143K/yr

... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ... and automation * Understanding of Project Management principles and SDLC * Understanding of machine ...

... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ... and automation * Understanding of Project Management principles and SDLC * Understanding of machine ...

... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ... and automation * Understanding of Project Management principles and SDLC * Understanding of machine ...

Senior Data Analyst

Pomona, CA ยท 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.

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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 Aug 1, 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.
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:
Infographic showing various Python Data Analyst job openings in Irvine, CA as of June 2026, with employment types broken down into 63% Full Time, 34% Part Time, and 3% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $88,705 per year, or $42.6 per hour.

$142K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 hours ago


Job description

Job Title: Data Analyst
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a skilled Data Analyst with 2-5 years of experience to support the Data & Analytics team at Naval Surface Warfare Center (NSWC) Corona. The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable insights, creating compelling visualizations, and supporting data-driven decision-making across the organization.
Responsibilities:
  • Analyze large datasets to identify trends, patterns, and insights.
  • Create interactive and insightful data visualizations using Tableau.
  • Present data findings to stakeholders in a clear and concise manner.
  • Clean, transform, and preprocess data to ensure accuracy and reliability.
  • Develop and maintain data pipelines for efficient data flow and storage.
  • Ensure data integrity and perform quality checks on datasets.
  • Write efficient Python scripts for data manipulation, analysis, and automation.
  • 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.
  • Work closely with cross-functional teams to understand their data needs and provide analytical support.
  • Assist in the development and implementation of data strategies and initiatives.
  • Provide training and support to team members on data tools and techniques.

Qualifications:
Required:
  • Bachelor's degree in related field.
  • 2-5 years of experience as a Data Analyst or in a similar role.
  • Proven experience with Tableau for data visualization.
  • Strong experience in data processing and cleaning.
  • Proficiency in Python for data analysis and scripting.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and data accuracy.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Familiarity with SQL and database management systems.
  • Knowledge of statistical methods and techniques.
  • U.S. Citizenship required for security clearance purposes.
  • Ability to obtain and maintain a security clearance.

Desired:
  • Experience with other data visualization tools (e.g., Power BI, Looker).
  • Knowledge of machine learning algorithms and techniques.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$69,600 - 142,700 USD
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.