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Python Data Analysis Internship Jobs in Santa Clara, CA

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

Sr. Data Analyst / Engineer

Sunnyvale, CA ยท On-site

$100.90K - $127.30K/yr

... analysis Required Skills: SQL, Tableau, Snowflake, ETL, DBT, Reporting Tools, Python, Data Visualization Best Regards, Nisha Khalkho IT Recruitment Executive Email: nisha.khalkho@inasolution.com ...

New

Data Platform Engineer

San Jose, CA ยท On-site

$134.20K - $161.10K/yr

Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation, interactive reports. Tableau - Data visualization and analytics dashboards. Cloud & Data Platforms ...

... using Python and SQL. * Take ownership and enjoy working with the team to deliver actionable ... Internship experience using machine learning or statistical analysis to build data-driven product ...

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Python Data Analysis Internship information

See Santa Clara, CA salary details

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

As of May 29, 2026, the average hourly pay for python data analysis internship in Santa Clara, CA is $26.43, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $28.80 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 the most commonly searched types of Python Data Analysis jobs in Santa Clara, CA? The most popular types of Python Data Analysis jobs in Santa Clara, CA are:
What are popular job titles related to Python Data Analysis Internship jobs in Santa Clara, CA? For Python Data Analysis Internship jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Santa Clara, CA look for? The top searched job categories for Python Data Analysis Internship jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Data Analysis Internship jobs? Cities near Santa Clara, CA with the most Python Data Analysis Internship job openings:

$59 - $81.25/hr

Full-time

Posted 7 days ago


Job description

Title: Python developer III
Location: Sunnyvale, CA
Duration: Long Term
Duties: We are looking for a Senior Python Developer with Java skills to help us build and evolve our Data Management Platform.
Your primary focus will be the development of all server-side backend data processing logic, ensuring high performance and responsiveness to requests from the front-end / API requests.
Responsibilities:
  • Writing reusable, testable and efficient code
  • Design and implementation of low-latency, high-availability and performant applications
  • Developing ETL processing in python as needed.
  • Work with cross-functional teams to complete migration effort
  • Develop Rest APIs using java libraries

Skills: Skills 5+ years of experience working in an enterprise setting Hands on experience with Flask or other Python frameworks Experience writing Python applications that interact with ORM libraries Good understanding of the threading limitations of Python and multi-process architecture Ability to program in Java Strong experience with SQL and data analysis Knowledge of Kafka, EMS queues Excellent team player and communicator who can work effectively with cross-functional
Required Skills:
PYTHON
DATA ANALYSIS
SQL
JAVA
FLASK
Additional Skills:
KAFKA
ETL
ORM
TEAM PLAYER
APACHE KAFKA
API
ARCHITECTURE
DATA MANAGEMENT
FRONT END
FRONT-END
REST