# Data, Growth & Analytics Intern

**Company**: EarnIn
**Location**: Mountain View, US
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: internship
**Salary**: $30-$40 per hour
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/7980784?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1a4cb2e2-f55

## 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.

## Skills

### Required
- SQL
- Python
- R
- data visualization
- communication

### Nice to have
- A/B testing
- business analytics
- financial modeling
- marketing analytics

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/earnin/jobs/7980784?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)