Strategic Overview
Binance Acceleration Program - Product Data Analyst at Binance is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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).
The role is listed for Singapore with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Data Science & Analytics, Senior.
Key information at a glance
About This Role
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research,…
We are looking for a motivated Product Data Analyst Intern to join our Product DA team. You will work alongside senior analysts on real product analytics projects — including conversion funnel analysis, A/B experiment evaluation, and dashboard building. This is a hands-on role where you'll gain exposure to product strategy, experiment-driven decision making, and large-scale data infrastructure.
Responsibilities
Key Responsibilities & Objectives
- 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)
- Write and maintain SQL queries for scheduled data pipelines; assist in data quality monitoring
- Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
Required Qualifications & Candidate Blueprint
- 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
- Understanding of A/B testing fundamentals (hypothesis testing, p-value, confidence intervals)
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.
We are looking for a motivated Product Data Analyst Intern to join our Product DA team. You will work alongside senior analysts on real product analytics projects — including conversion funnel analysis, A/B experiment evaluation, and dashboard building. This is a hands-on role where you'll gain exposure to product strategy, experiment-driven decision making, and large-scale data infrastructure.
Responsibilities
- 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
Requirements
- 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)
Preferred Requirements
- Experience with event tracking / behavioral analytics (Sensors, Mixpanel, GA)
- Familiarity with Airflow or data scheduling tools
- Interest in crypto/fintech industry
- Prior experience with large-scale data (Hive/Spark environment)
Why Binance
- Shape the future of finance
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches Data Science & Analytics, Senior. Its strongest career signal is the scope of the work itself — particularly Support A/B experiment evaluation: pull experiment data, validate cohort allocation (sanity checks), calculate uplift metrics, and summarize results — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Data Science & Analytics, Senior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.