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Intern Python Data Analyst Jobs in Santa Clara, CA

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Basic scripting - Python or R for data manipulation or automation. * Windows environment fluency - file systems, permissions, scheduled tasks, and general troubleshooting. * Analytical & Business ...

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Basic scripting - Python or R for data manipulation or automation. * Windows environment fluency - file systems, permissions, scheduled tasks, and general troubleshooting. * Analytical & Business ...

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

Python or R for data wrangling and automation * Experience with cloud data warehouses (Snowflake ... Background in operations analytics or workforce management What Success Looks Like: * Reporting ...

Python or R for data wrangling and automation * Experience with cloud data warehouses (Snowflake ... Background in operations analytics or workforce management What Success Looks Like: * Reporting ...

Write and maintain Python scripts for data cleaning, analysis, and visualization. * Apply statistical methods and data science techniques to identify patterns, trends, and actionable insights.

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... Experience in R or Python is required * Experience with Tableau or other related Business ...

Data Analyst SME (Subject Matter Expert) Location: Pleasanton, CA Onsite We are seeking an ... Python * R * Strong understanding of data modeling, ETL processes, and data warehousing concepts.

Senior Data Analyst

Palo Alto, CA · On-site +1

$101K - $127K/yr

Strong experience in data analysis, modeling, and applied analytics (SQL, Excel, Python, or similar tools). * Proven ability to work with ambiguous, complex business problems and turn them into ...

Senior Data Analyst Job Type: Full time, Onsite Salary Range: $115K to $130K (based on experience ... Leverage SQL and Python to query and analyze large datasets, identifying trends, anomalies, and ...

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers * Experience ...

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers * Experience ...

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers * Experience ...

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data ... Python, R, or similar tools is a plus Ability to clearly communicate findings and work ...

Strong Python or R experience for data analysis, modeling, and automation. * Experience with data visualization tools (Looker, Tableau, Power BI). * Hands-on experience with A/B testing ...

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Intern Python Data Analyst information

See Santa Clara, CA salary details

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How much do intern python data analyst jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for intern python data analyst 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 does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
What are the most commonly searched types of Python Data Analyst jobs in Santa Clara, CA? The most popular types of Python Data Analyst jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Intern Python Data Analyst jobs? Cities near Santa Clara, CA with the most Intern Python Data Analyst job openings:

Transformation Analyst Intern

chemelex

Redwood City, CA

Other

Posted 2 days ago


Job description

ABOUT THE ROLE

We are seeking a motivated Transformation Analyst Intern to support crossfunctional improvement and modernization initiatives across our operations, engineering, supply chain, and finance teams. This internship is ideal for students who enjoy analytical work, structured problemsolving, and exposure to real transformation projects inside a manufacturing or operations environment.

The intern will assist with data analysis, project coordination, cost modeling, and documentation to help teams execute key initiatives. This role provides handson experience with ERP systems, Bill of Materials (BOM) analysis, CapEx processes, and project management fundamentals.

The analyst plays a critical role in enabling organizational change, improving processes, and supporting capital and operational projects.

WHAT YOU’LL DO

Project Support & Coordination

  • Maintain project timelines, action logs, and status updates.
  • Support meeting preparation, notetaking, and followup tracking.
  • Assist with readiness checks and identifying simple bottlenecks.
  • Prepare basic presentations or summaries for leadership reviews.
  • Maintain project documentation, risk logs, action registers, and status reports.

Data & Cost Analysis

  • Build and update simple cost models under guidance.
  • Run basic BOM simulations to compare cost or sourcing scenarios.
  • Validate data with engineering, supply chain, or finance teams. Perform Bill of Material (BOM) simulations to evaluate cost impacts.

CapEx & Supplier Support

  • Organize supplier quotes and assist in bid comparisons.
  • Support CapEx documentation, justification materials, and approval tracking.
  • Prepare, review, and validate CapEx quotes… Track CapEx estimates, changes, and approvals.

Documentation & Requirements Support

  • Help draft or edit sections of scopes of work or acceptance criteria.
  • Support Procurement and Engineering with contract documentation.
  • Participate in vendor calls to capture notes and open items.
  • Develop detailed acceptance criteria… Ensure documentation is complete, accurate, and aligned with project objectives.

Systems & Data Management

  • Pull and validate data from SAP or other ERP systems. Leverage reporting tools to create dash
  • Support master data cleanup and alignment across functions.
  • Build simple dashboards or reports for project teams.

CrossFunctional Collaboration

  • Assist communication between engineering, supply chain, procurement, and operations.
  • Help create process documentation, training materials, or changemanagement content. communication plans.

QUALIFICATIONS AND EXPERIENCE

  • Currently pursuing a bachelor’s degree in data Analytics, Statistics, Computer Science, Industrial Engineering,  Business, or related field
  • Strong analytical and problem-solving skills with ability to work through large datasets
  • Experience with data visualization tools such as Power BI or Tableau
  • Proficiency in Excel required; Python, R, or SQL preferred
  • Understanding of data cleaning, structuring, and basic statistical analysis
  • Strong communication skills and ability to explain insights clearly
  • Ability to work in a fast-paced manufacturing environment
  • Exposure to manufacturing or production systems is a plus
  • Strong organization skills
  • Strong communicator
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