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

Write production-quality SQL and Python code to extract, transform, and analyze data at scale. * Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models ...

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Python proficiency preferred * Hands-on experience with funnel analysis, cohort analysis ...

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Python proficiency preferred * Hands-on experience with funnel analysis, cohort analysis ...

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

Python or other scripting languages) * Prior exposure to tax, compliance, or accounting-related ... data * A background in operations, finance, or technical customer success What we offer:

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 ...

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Data analytics (Python, Excel, conduct data queries as needed). * Power BI (advanced skills, ability to create executive boards and day-to-day dashboards for business analytics). * SAP. * Microsoft ...

... Python, including scripting, automation, performance tuning, and debugging capabilities. • HANDS-ON Experience with Starburst as a data analyst, developer, or support engineer. • HANDS-ON ...

Data Analyst II

San Francisco, CA · On-site

$93K - $117K/yr

Experience with Python for data analysis, automation, or scripting. * Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar). * Strong quantitative and ...

Data analysis and proficiency in advanced data analysis (SQL, Python, etc.) * Prior experience in a customer-impacting or support-adjacent role, where clear communication and timely resolution were ...

Data Analyst, Growth

San Francisco, CA · On-site

$100K - $150K/yr

Strong SQL and Python skills, with a habit of writing clean and maintainable work * Comfortable analyzing performance across channels like Meta, Google Ads, and TikTok * Experienced building ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Data Analyst IV

San Francisco, CA · On-site

$187K - $220K/yr

Design, build, and optimize data pipelines using Databricks and PySpark/Python. Own the end-to-end ... Conduct root-cause analysis on data pipeline failures, query performance bottlenecks, and system ...

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

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

As of Jul 16, 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:
Data Analyst III

Data Analyst III

Brex

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago


Job description

Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company.
What you'll do
As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You'll go beyond building dashboards-you'll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team's work.
This role sits at the intersection of analytics, analytics engineering, and business strategy. You'll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.
Where you'll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
  • Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
  • Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
  • Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
  • Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
  • Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
  • Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
  • Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team's tooling and processes.

Requirements
  • 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
  • 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
  • Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
  • Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
  • Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
  • Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
  • Strong stakeholder management skills-proven ability to present complex technical findings to non-technical audiences.
  • Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points
  • Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
  • Experience with dbt for data modeling and transformation.
  • Experience building and maintaining data pipelines using orchestration tools such as Airflow.
  • Experience working with APIs for data ingestion and integration.
  • Familiarity with version control systems (Git).
  • Experience in fintech, financial services, or payments.
  • Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation
The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.