1

Python Data Analysis Internship Jobs in Berkeley, CA

Data Analyst (Hybrid)

San Francisco, CA ยท On-site +1

$110K - $150K/yr

Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to ...

Data Analyst (Hybrid)

San Francisco, CA ยท Hybrid

$110K - $150K/yr

Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to ...

Data Analyst (Hybrid)

San Francisco, CA ยท Hybrid

$110K - $150K/yr

Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to ...

Data Engineer

Pleasanton, CA ยท On-site

$127.20K - $152.70K/yr

The ideal candidate will have strong expertise in Python, Databricks Notebooks, Apache Spark ... Interface with product owners, data scientists, and business analysts to translate data ...

Data Science Internship - Multiple Teams Faire leverages machine learning and data insights to ... Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions ...

The intern will assist with data analysis, project coordination, cost modeling, and documentation ... Python, R, or SQL preferred * Understanding of data cleaning, structuring, and basic statistical ...

DATA ANALYSIS * SQL DEVELOPER, Excel * PYTHON, ORACLE DATABASE, SQL, PLSQL * ETL * PHARMA or LIFE SCIENCE or BIOCTECH

next page

Showing results 1-20

Python Data Analysis Internship information

See Berkeley, CA salary details

$14

$27

$51

How much do python data analysis internship jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python data analysis internship in Berkeley, CA is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $30.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What are popular job titles related to Python Data Analysis Internship jobs in Berkeley, CA? For Python Data Analysis Internship jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Berkeley, CA look for? The top searched job categories for Python Data Analysis Internship jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Python Data Analysis Internship jobs? Cities near Berkeley, CA with the most Python Data Analysis Internship job openings:

Intern - Business Data Analytics

Munich Re

San Francisco, CA โ€ข On-site

Full-time, Internship

Posted 15 days ago


Job description

Empower yourself! Start building your career with a national industry leader!
Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies.
HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience. Below are some of the key experiences and benefits you can expect.
Program Highlights
  • Gain hands on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.
  • Networking opportunities.
  • Hybrid work schedule to include working on-site in the office and working from home.
  • Participate in community outreach.
  • Opportunity to gain career advice and help you prepare for navigating your career search.
  • Learn about great careers within the insurance and the impact they make.
  • Potential full-time career opportunities after graduation.

As a valued intern within our team you will have the opportunity for frequent interaction across multiple functions of the organization and gain real life experience and perform meaningful work that will prepare you for the right start to your career!
Business Data Analytics Intern
  • This role is intended for a graduate-level intern, not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved
  • Intern will work on production-adjacent datasets and deliver outputs that directly inform business and product decisions
  • Internship provides meaningful, resume-grade deliverables rather than exploratory or academic work

Requirements
  • Proficiency in SQL for analytical queries, joins, aggregation, and implementing KPI reporting
  • Working knowledge of data analysis tools such as Python, R, or similar
  • Familiarity with ETL/ELT pipelines and data warehouses (e.g. Snowflake, BigQuery)
  • Exposure to BI / dashboarding tools (e.g., Tableau, Power BI, Looker)
  • Ability to organize, analyze, and summarize datasets with strong attention to detail
  • Graduate student (Master's or PhD) in:
    • Data Analytics
    • Business Analytics
    • Statistics
    • Information Systems
    • Applied Mathematics
    • Computer Science (analytics or data-focused track)

(Graduate-level coursework preferred due to complexity and autonomy of work.)
Responsibilities
  • Design and build initial analytical dashboards to support product and services decision-making
  • Build basic ETL pipelines to aggregate data into a warehouse for analysis and dashboards
  • Analyze large datasets related to customer usage, risk signals, and operational performance
  • Develop repeatable reporting frameworks (KPIs, trend analysis, cohort analysis) to replace manual processes
  • Collaborate with stakeholders on data requirements, validations, documentations, and insights
  • Produce executive-ready summaries and visualizations translating data into actionable insights

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.