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Python Data Analysis Internship Jobs in Santa Clara, CA

1 point system

Data Analyst

Sunnyvale, CA · On-site

Strong experience with Python or R for data analysis, modeling, and automation. * Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics.

Centraprise

Data Analyst

Santa Clara, CA · On-site

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Interns will contribute to real data innovation projects involving: * Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Interns will contribute to real data innovation projects involving: * Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI ...

Danaher

Digital Analyst Internships

San Jose, CA · On-site

$112K - $133K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Dlapiper

Sr Data Analyst

Palo Alto, CA · Hybrid

$101K - $127K/yr

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement ...

IrisLogic, Inc

Sr BA/ Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

... using Python or R for data analysis and automation Solid understanding of data modeling, metric design, and analytical best practices Experience working with cloud data platforms (e.g., Snowflake ...

Five9

Vice President, Data Science

San Ramon, CA

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

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Python Data Analysis Internship information

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

As of Aug 10, 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 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 are the key skills and qualifications needed to thrive as a Python data analysis intern?

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 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 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.
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Python Data Analysis Internship jobs near you

Data Analyst

1 point system

Sunnyvale, CA • On-site

Contractor

Re-posted 29 days ago

Job description

Qualifications
• Master’s degree in data science, Statistics, Computer Science, Economics, or a related field.
• 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics.
• Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps.
• Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake).
• Strong experience with Python or R for data analysis, modeling, and automation.
• Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics.
• Experience with A/B testing, experimentation frameworks, and causal inference techniques.
• Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a plus.
• Excellent communication skills with the ability to translate complex data into actionable insights.