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

... 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 ...

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

Work with SQL, Python, or R to extract, analyze, and manipulate data. * Collaborate with product managers, engineers, and marketing teams to provide data-driven insights . * Conduct A/B testing and ...

Data Analyst

San Francisco, CA · Remote

$1K - $1K/mo

... as Python or R, with the ability to manipulate and analyze data efficiently. • Adept at working with large datasets, utilizing statistical techniques to extract meaningful insights and drive ...

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 ...

Proficient with data analysis, visalization and management tools like SQL, Python, Tableau, Power BI, and Microsoft Excel. * Statistical knowledge to interpret data and draw meaningful conclusions

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

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

Data Analyst

San Francisco, CA · On-site

$123K - $160K/yr

Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy). * Experience with dbt, AWS Glue, or similar data transformation and pipeline tools. * Experience building and ...

Experience with SQL and Python * Experience with a data visualization tool like Tableau * Familiarity with Product Analytics - understanding and tracking customer and user behavior using lenses like ...

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Proficient in SQL, Python , and/or other data query languages * Familiarity with Product Analytics - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts ...

New

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Intern Python Data Analyst information

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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.

Intern - Business Data Analytics

Munich Re

Berkeley, CA

Other

Posted 22 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.