About the Role
Role details below.
Responsibilities
- Analyze product and business data to uncover trends in acquisition, activation, retention, and monetization across Cloudflare’s self-serve customers.
- Write SQL queries to explore large-scale datasets and build dashboards to track key metrics and experiments.
- Partner with product, marketing, and engineering teams to define success metrics and answer high-impact business questions.
- Support A/B tests and growth experiments by measuring impact and providing recommendations.
- Help maintain and improve data pipelines, data models, and documentation.
- Present findings and actionable insights to stakeholders in a clear, compelling way.
- Contribute to improving analytics processes, data quality, and self-serve reporting.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Experience with SQL and data analysis tools (e.g., Python, R, or spreadsheets).
- Ability to communicate insights clearly to both technical and non-technical audiences.
- Curiosity about product analytics, growth, and how data drives decisions.
Nice to Have
- Experience with data visualization tools (e.g., Looker, Tableau, Mode, or similar).
- Familiarity with experimentation, A/B testing, or product analytics.
- Exposure to cloud data warehouses (BigQuery, Snowflake, etc.).
- Interest in Internet infrastructure, security, or developer platforms.
Benefits
- Hands-on experience analyzing real-world product and business data at Internet scale.
- Mentorship from experienced data analysts and data scientists.
- Exposure to product-led growth strategy and cross-functional decision-making.
- Opportunity to present your work to Cloudflare teams and leadership.
- A final project that demonstrates measurable impact on product or growth strategy.
Additional Information
- This is an internship role for Summer 2026.
- Intern will work with product managers, engineers, marketers, and data scientists.
- Example projects include building dashboards tracking user activation and feature adoption, analyzing funnel conversion from sign-up to paid usage, identifying user segments likely to upgrade, evaluating impact of product launches or pricing changes, and supporting forecasting and growth modeling.
