Role in brief
Binance is looking for a Product Data Analyst Intern in their Acceleration Program. This role involves hands-on product analytics, A/B testing, and data visualization. Candidates should have a background in a quantitative field and be curious about data trends.
About the role
As a Product Data Analyst Intern at Binance, you'll gain practical experience in product analytics within a leading blockchain ecosystem. Your work will involve analyzing user conversion funnels, supporting A/B testing, and creating dashboards for key product metrics.
You will collaborate with senior analysts and product teams to address data requests and translate findings into actionable insights. The role requires a strong analytical mindset and attention to detail, providing a solid foundation for a future career in data analysis.
The salary for this role ranges from $90,000 to $150,000, reflecting the competitive pay in the industry.
Skills that matter here
- SQL: You will write complex queries to support data pipelines and monitor data quality.
- Python: Python will be used for data manipulation and analysis.
- R: R may be utilized for statistical analysis and data visualization.
- Data Visualization: You will create visual representations of data to communicate findings effectively.
- A/B Testing: You will support the evaluation of A/B experiments and analyze their outcomes.
Who this role suits
- You are currently pursuing or have recently completed a degree in a quantitative field.
- You have a natural curiosity for data and enjoy investigating trends and patterns.
- You are detail-oriented and can work independently in a fast-paced environment.
- You are bilingual in English and Mandarin, facilitating communication with international teams.
From the employer
- Assist in building and analyzing user conversion funnels, identifying drop-off points and improvement opportunities
- Support A/B experiment evaluation: pull experiment data, validate cohort allocation (sanity checks), calculate uplift metrics, and summarize results
- Build and maintain dashboards for key product metrics (CTR, conversion rate, UV/PV)
- Respond to product team ad-hoc data requests — user segmentation, feature adoption tracking, campaign performance analysis
- Write and maintain SQL queries for scheduled data pipelines; assist in data quality monitoring
- Translate data findings into clear summaries and visualizations for product teams
- Currently pursuing or recently completed a Bachelor's/Master's degree in a quantitative discipline (Statistics, Computer Science, Economics, Data Science, or related field)
- Internship experience in product analytics or related data analysis roles preferred
- A natural curiosity to identify, investigate and explain trends and patterns in data
- Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
- Understanding of A/B testing fundamentals (hypothesis testing, p-value, confidence intervals)
- Strong logical thinking, attention to detail, and ability to work independently
- Fast learner with curiosity about product strategy and user behavior
- Competency in one or more of the following:
- SQL (able to write complex queries with CTEs, window functions, subqueries)
- Programming (Python/R for data manipulation)
- A data visualization tool (e.g. DataWind, Tableau, PowerBI)
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Questions about this role
What is the remote policy?
The position is remote, with work-from-home arrangements that may vary.
What is the seniority level of this role?
This is a trainee-level position.
How do I apply?
Candidates can apply through the Binance website.