Data, Growth & Analytics Intern

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

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. Our salary ranges are determined by role, level, and location.

• →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.

• 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.

• 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.