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

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Develop Python-based analytical models, forecasting solutions, simulations, and automation for ...

Sr Analyst, People Analytics and Data

Irvine, CA · On-site

$92K - $116K/yr

Knowledge or exposure to Python or R for advanced data analysis, predictive modelling, and inferential statistics. Knowledge/Skills/Abilities * Advanced skills in Microsoft Office, including Excel (V ...

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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 Sep 12, 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

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:

Infographic showing various Python Data Analyst job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $88,705 per year, or $42.6 per hour.

Senior Data Analyst - Operations

Long Beach, CA • On-site

SCAN Health Plan
Insurance Services • 1 - 5K employees

$90K - $114K/yr

Other

Retirement, PTO

Posted 7 days ago


Job description

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

The Senior Data Analyst

The Senior Data Analyst is responsible for designing, developing, and maintaining data-driven analytic solutions that support operational and strategic decision-making. This role partners closely with business leaders to transform complex healthcare claims data into actionable insights, compelling visualizations, and executive-level reporting that improve operational performance, member outcomes, and business results. The ideal candidate combines strong healthcare operations analytics expertise with exceptional communication skills, a passion for storytelling through data, and a curiosity for emerging AI technologies.

You Will:
  • Design, develop, and maintain enterprise dashboards, reporting solutions, semantic data models, AI-enabled applications, and analytical products using Power BI, AI technologies, Snowflake, and other business intelligence platforms.
  • Partner with executive leadership, business stakeholders, and operational teams across functions including Enrollment, Grievances & Appeals, Claims Operations, Provider Data Management, Workforce Management, and other business areas to understand business objectives, operational challenges, regulatory requirements, and performance goals.
  • Lead business process discovery, and solution design sessions by documenting and analyzing current-state and future-state business processes, workflows, operational procedures, and user needs.
  • Convert business needs into clear functional and technical requirements that support application development, process automation, analytics, and AI-enabled solutions.
  • Partner with business owners to define, standardize, and govern enterprise metrics, KPI definitions, business rules, reporting methodologies, and data governance standards, ensuring consistency, accuracy, and alignment across executive, operational, and departmental reporting.
  • Develop and maintain semantic data layers, analytical models, and governed reporting structures that establish trusted, reusable, and scalable data assets while supporting enterprise-wide business intelligence and AI capabilities.
  • Analyze complex healthcare claims, operational, workforce, and provider datasets to identify trends, risks, root causes, opportunities, and performance improvement recommendations that drive measurable business outcomes.
  • Build, optimize, and support data pipelines, data integrations, queries, and analytical processes utilizing SQL, Python, Snowflake, and related technologies while ensuring data quality, performance, and reliability.
  • Create and deliver executive dashboards, operational reports, visualizations, and data stories that effectively connect strategic objectives, key performance indicators, and frontline operational performance to support data-driven decision making.
  • Present findings, recommendations, and business insights to technical and non-technical audiences, including senior leadership, driving adoption of analytics solutions and fostering a culture of accountability and continuous improvement.
  • Demonstrate a hands-on, results-oriented approach by proactively leading initiatives from concept through implementation, evaluating emerging analytics, AI, and automation technologies, collaborating across teams, sharing knowledge, solving complex business problems, and supporting departmental goals and other assigned responsibilities while maintaining availability during standard Pacific Time (PST/PDT) business hours.
Your Qualifications:

Minimum 5 years of Healthcare Analytics, Claims Analytics, Payor, or Health Plan Operations experience.

Minimum 5 years of hands-on experience with: SQL, Power BI, Snowflake and Python Experience working with QNXT claims administration systems.

Experience with Databricks.

Experience with Business Process Documentation.

Experience developing applications using Streamlit.

Experience leveraging AI-powered analytics, machine learning, natural language interfaces, or generative AI solutions.

Experience with querying and manipulating data structures in on-premises or cloud data warehouses (SQL, Snowflake, Databricks), as well as report creation and data visualization tools such as SSRS, Tableau, Power BI, etc.

Experience with Streamlit, Databrick Genie, Cortex Code, Alteryx and Python is preferred.

Analytics & Technical Skills

Advanced SQL development and data analysis skills.

Strong experience with Snowflake data platforms and cloud-based analytics environments.

Advanced Power BI dashboard development, data modeling, and visualization skills.

Proficiency in Python for data analysis, automation, and reporting.

Understanding of healthcare claims lifecycle, operations, and performance metrics.

Strong knowledge of modern data architecture, semantic modeling, and KPI governance concepts.

Communication & Leadership Skills

Excellent verbal, written, and presentation skills.

Ability to communicate technical concepts to non-technical audiences.

Strong executive presence and ability to interact effectively with senior leaders.

Ability to facilitate discussions, gather requirements, and influence business decisions through data-driven recommendations.

Strong consulting and stakeholder management skills.

Storytelling & Innovation

Demonstrated ability to create compelling narratives from data and translate analytics into actionable business insights.

Strong eye for visualization design, user experience, and executive dashboard development.

Passion for working in an AI-forward and innovation-focused environment.

Self-starter with a growth mindset and proven ability to independently learn and adopt new technologies, AI tools, and analytics platforms.

Intellectual curiosity and enthusiasm for continuous improvement and emerging technologies.

What's in it for you?

An opportunity to become part of a team that makes a difference to our members and our community every day! We're always looking for talented people to join our team! At SCAN we believe that it is our business to improve the state of our world.

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and Affluent Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Become part of a mission-driven team that makes a difference in the lives of seniors every day. SCAN has a long history of finding and investing in ways to meet seniors' needs. This focus is what attracts employees to SCAN. For each and every one of us, the SCAN mission is personal. Keeping Seniors Healthy and Independent is both our mission and our passion. That same commitment carries over to our employees. We provide the training, tools and support necessary to do your work. We reward effort and celebrate success. SCAN both develops and attracts people who are leading experts in their respective fields. If the SCAN mission is one you believe in too, we invite you to explore the career opportunities at SCAN.

Why consider a career at SCAN?
  • - A competitive compensation and benefits program;
  • - An annual employee bonus program;
  • - Generous paid-time-off (PTO);
  • - Eleven paid holidays per year;
  • - Excellent Retirement Savings program;
  • - A work-life balance;
  • - and - An opportunity to become part of a team that makes a difference to our members and our community every day!
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