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

AsiaRemote

AI Summary

A Binance Accelerator Program Product Manager supports data analysis, A/B testing, and strategy work for analytics and ranking/product teams, producing insights and documentation.

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, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE
Who may apply
Current university students and recent graduates

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

    • Skills

    A/b TestingCTRCVRData WarehouseExperiment DesignPandasPythonRecommender SystemsSQLStatistical Analysis

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