Description
We are creating a special internship opportunity for a highly motivated college junior or senior to join our Data team for the summer. This is a cross-functional role: you will be housed within the Data organization and will work closely with our Machine Learning, Growth, and Go-to-Market (GTM) teams. You'll work on real business problems , turning data into actionable insights that directly influence product strategy, user acquisition, and member retention.
This is not a "shadow and observe" internship. You'll own meaningful projects from day one, collaborate with experienced professionals, and be expected to present findings and recommendations to stakeholders across the company. This is a Mountain View-based position requiring in-office work 2 days a week. The Mountain View base compensation range for this internship position is $30-$40 per hour.
Responsibilities:
- Analyze user behavior data to identify growth opportunities across the member lifecycle, from acquisition through retention.
- Build and maintain dashboards and reporting tools to track key product and business metrics, working alongside the Growth and ML teams.
- Design, support, and evaluate A/B tests and other experiments to measure the impact of product and marketing initiatives.
- Develop and refine segmentation models, user funnels, and cohort analyses to surface insights that inform GTM strategy.
- Synthesize quantitative findings into clear, compelling recommendations , communicating results to both technical and non-technical stakeholders.
- Contribute to ad-hoc analytical requests that support strategic planning and leadership decision-making.
Requirements:
- Currently pursuing a Bachelor's degree (junior or senior standing) in Economics, Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field at an accredited university.
- Strong analytical and problem-solving skills, with the ability to move from raw data to a clear, actionable insight.
- Proficiency in SQL for data extraction and analysis.
- Working knowledge of Python or R for data manipulation and analysis (Pandas, NumPy, Scikit-learn, or equivalent).
- Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
- Excellent written and verbal communication skills; ability to present findings clearly to non-technical audiences.
- Ability to work full-time, on-site in Mountain View, CA.
Preferred:
- Familiarity with A/B testing frameworks and experimentation methodology.
- Prior coursework or project experience in business analytics, financial modeling, or marketing analytics.
- Exposure to growth, product, or GTM concepts (user funnels, LTV, CAC, churn).
- Experience with Excel/Google Sheets for financial or operational modeling.
- Interest in FinTech, consumer finance, or financial inclusion.