Data & Analytics Intern Jobs

Data & Analytics Intern

GoFundMe

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

35.00 USD / Hour

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Job Description:

GoFundMe is looking for a dedicated Data & Analytics Intern to join our Data and Decision Science team to help elevate our analytics at GoFundMe. This role will support the Decision Science roadmap through the cultivation, curation, and visualization of timely and relevant data for our team and other stakeholders at GoFundMe. This is a 10 week internship program that runs from May 26th, 2026 to August 7th, 2026.

Job Responsibility:

Provide data-driven analyses using SQL and/or Looker to inform our roadmap and deliver insights to our stakeholders
Inventory BI environment and work with stakeholders to gather usage requirements and develop documentation
Clean and organize data from various sources into our Snowflake Warehouse
Develop high-level dashboards in Looker to support data-driven strategy and insights
Collaborate with the Decision Science team to drive ad hoc requests and define metrics for dashboard development
Identify hypotheses, participate in experiment design
make clear, coherent and holistic recommendations based on test results

Requirements:

Highly data-driven and excited to grow your career in Data Analytics
Currently pursuing a Masters or PhD degree related to Analytics, Data Science, Computer Science or Operations Research
Have an understanding of data visualization and BI tools (i.e. Looker or Tableau)
Familiarity with SQL and cleaning/processing data
Passion for organization and documentation
Strong written and verbal communication skills and ability to build strong relationships and trust with all partners at GoFundMe both technical and non-technical

Nice to have:

Demonstrated experience with data science using Python

What we offer:

Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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