Description review

Binance Acceleration Program - Product Data Analyst

Binance · Hong Kong · back to the listing

HR standards

58/100

needs work

Title ↔ description

88/100

strong

Reads as

Data Analyst

100% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • 27 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.

About Binance Accelerator Program

Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.

Who may apply

Current university students and recent graduates.

*Terms of employment / engagement shall be subject to contract and local applicable laws

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)

Nice to Have

• 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)

Compensation

Additional Information

Why Binance

• 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 70 before penalties). Reviewed 21 Sep 2026.