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Intern Python Data Analyst Jobs in Fremont, CA (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Source origins of data inaccuracies through data pipeline dependencies and python code base

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows

Data Analyst

San Francisco, CA · 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

San Francisco, CA · 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 · 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 ...

Analyze Tableau and Python code to pinpoint bugs, flawed designs, or inefficiencies affecting data integrity or visualization outcomes. * Solution Proposition : Offer informed solutions and ...

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Intern Python Data Analyst information

See Fremont, CA salary details

$13

$24

$46

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

As of Jun 10, 2026, the average hourly pay for intern python data analyst in Fremont, CA is $24.63, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $26.83 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 Fremont, CA? The most popular types of Python Data Analyst jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Intern Python Data Analyst jobs? Cities near Fremont, CA with the most Intern Python Data Analyst job openings:
Infographic showing various Intern Python Data Analyst job openings in Fremont, CA as of June 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $51,240 per year, or $24.6 per hour.

Python Data Analyst-F2F Interview

Vkore Solutions

San Ramon, CA • On-site

Contractor

Posted 12 days ago


Job description

Primary: Python, SQL, PL/SQL, Snowflake, Data Analysis

Secondary: AWS, Glue, Control-M, Informatica, Jira/Agile, Power Platform (nice to have)

Soft Skills: Independent contributor, lead meetings, strong communication, collaboration

Others: CRM knowledge, data Modeling, DB design