Binance Accelerator Program - Product Manager (Analytics/Strategy Insights)

Job description

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](https://www.binance.com/en/blog/all/early-career-program-how-binance-gears-up-early-career-talent-6771140985933048651). **Who may apply** Current university students and recent graduates. *\*Terms of employment / engagement shall be subject to contract and local applicable laws* ### What You'll Do: **- Data Analysis:** Perform attribution analysis, user segmentation, and funnel diagnostics based on behavioral logs; deliver actionable strategy recommendations **- A/B Testing:** Assist in experiment design, write SQL queries for data extraction, conduct significance testing, and produce A/B test reports **- Strategy Documentation:** Contribute to PRDs for frequency capping, ranking, and content strategy **- Ranking Optimization:** Collaborate with algorithm teams on parameter tuning and effect validation **- Label/Tag Development:** Organize and refine content/label taxonomies to bridge signals to recommendation systems ### What We're Looking For: **Must-Haves:** - Proficient in SQL – able to independently extract and analyze data from data warehouses - Solid understanding of basic statistics (hypothesis testing, confidence intervals, A/B testing) - Familiar with Python (pandas) or similar data analysis tools - Knowledge of basic recommender system concepts (CTR/CVR, explore-exploit) - Structured thinking and clear writing skills **Nice-to-Haves:** - Prior experience in recommendation systems, growth, or user operations projects - Hands-on experience with A/B testing - Basic understanding of Web3 / crypto concepts - Experience with machine learning projects