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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 ...

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 Jun 16, 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.
Sr Data Management Analyst

Sr Data Management Analyst

Pacific Life Insurance Company

Newport Beach, CA • On-site

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Pacific Life rating

6.8

Company rating: 6.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

231st of 261 rated insurance

Job description

Job Description:
Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own.
We're actively seeking a talented Sr Data Management Analyst to join our team in Newport Beach, CA.
The Sr Data Management Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability framework, data profiling tools and processes, data governance and providing services and solutions aligned with overall Pacific Life's PL Data Management strategy, Data Governance organization in PL Data for Workforce benefits (WBD). This role combines data engineering, data analysis, and data quality management to ensure reliable, high-quality, and trusted data across enterprise data platforms. The individual will design and implement data pipelines, observability frameworks, and quality controls, while partnering with business and data stakeholders to enable data-driven decision making and improve data reliability at scale.
How you'll help move us forward:
  • As Sr Data Management Analyst within Enterprise DG organization, lead Data Quality and Governance for Workforce Benefits Division (WBD), manage asset certification program for data, data metrics , reports, and a multi-faceted communication and engagement plan with the WBD data community.
  • Partner with data architects, engineers, analysts, and business stakeholders to gather requirements and translate business needs into clear technical solutions.
  • Lead requirements workshops, backlog refinement, and stakeholder discussions; document business, functional, and technical requirements.
  • Implement data observability and data quality monitoring frameworks, including automated checks, anomaly detection, and alerting mechanisms across critical data pipelines.
  • Perform deep data analysis using SQL and python and profiling techniques to identify anomalies, data gaps, and inconsistencies across source-to-target systems.
  • Develop and maintain data quality metrics, scorecards, and monitoring dashboards to track data reliability and pipeline health.
  • Conduct root cause analysis and remediation of data issues, working across upstream and downstream systems. .
  • Design and develop scalable data solutions, including data models, source-to-target mappings, ETL/ELT
  • Collaborate with engineering teams on code reviews, testing, CI/CD processes, and deployment best practices.
  • Support data governance initiatives, including metadata management, data lineage, data certification, and business glossary maintenance.
  • Ensure compliance with data standards, controls, and regulatory requirements for sensitive data (PII/PHI).
  • Work within Agile delivery teams to prioritize, manage, and execute work effectively.

The experience you bring:
  • BS in Computer Science, Mathematics, Finance or related field. Master's degree preferred.
  • Minimum of 6+ years' of professional in Data analysis, Data Quality, Engineering, related roles
  • Expert level sql and strong python programming skills, Strong hands-on experience with SQL for data analysis, validation, and troubleshooting data issues.
  • Experience building or supporting data pipelines, ETL processes, or data workflows.
  • Experience implementing data quality monitoring, observability frameworks, or automated controls.
  • Experience working with cloud-based data platforms (AWS, Azure, Snowflake, etc.).
  • Strong experience with data profiling, anomaly detection, and root cause analysis.
  • Experience working in Workforce Benefits (WBD), Insurance, or Healthcare data domains.
  • Experience working on complex business/technology initiatives within and across multiple verticals/domains.
  • Ability to analyze complex data issues and determine appropriate policies, standards, and solutions to enhance the experience for data users.

What will make you stand out:
  • Experience with regulated data environments (PII/PHI).
  • Experience in Workforce benefits domain.
  • Data Management Professional (CDMP), AWS certification
  • 3+ years setting up data governance and catalog toolsets like Alation, Atlan, or Collibra
  • 3+ years experience with cloud technologies such as Snowflake and AWS related to data warehousing
  • 3+ years of data analysis or reporting experience with building SQL queries, metrics definitions and translating source data into target analysis

You can be who you are.
  • We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

#LI-KP1
Base Pay Range:
The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
$137,610.00 - $168,190.00
Your Benefits Start Day 1
Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered.
  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
  • Paid Parental Leave as well as an Adoption Assistance Program
  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife
EEO Statement:
Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.
Pacific Life logo

About Pacific Life

Sourced by ZipRecruiter

When you purchase life insurance and retirement solutions, you're buying a promise. A promise that today, tomorrow or ten years from now, we'll be there. For more than 150 years, our clients have trusted Pacific Life to protect what matters most to them - their families, their businesses, their futures.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Newport Beach, CA, US

Year founded

1868

Social media

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