Senior Data Analyst (Payment)

21 hours, 59 minutes ago
Full-time
Senior
Data Science and Analytics
Bybit

Bybit

Bybit operates as a cryptocurrency exchange, providing a platform for users to buy, sell, and trade Bitcoin, Ether, altcoins, and NFTs, while also offering access to spot and futures markets and secure coin staking.

Capital Markets
1K-5K
Founded 2018

Description

  • Analyze payment transaction data, including volume, success rates, conversion funnels, and revenue metrics.
  • Build and maintain dashboards and automated reports to track payment performance and KPIs.
  • Conduct deep-dive analyses on payment channel efficiency, cost optimization, and user behavior patterns.
  • Monitor data quality and integrity across payment systems, identifying and resolving discrepancies.
  • Support business and product teams with ad-hoc data requests, A/B test analysis, and impact assessments.
  • Develop and maintain data models and ETL pipelines for payment-related datasets.
  • Collaborate with cross-functional stakeholders to define metrics, align on data definitions, and standardize reporting.
  • Provide actionable recommendations based on data findings to support growth strategies.

Requirements

  • Fluent in English and Mandarin, both written and spoken.
  • 5+ years of experience in data analysis, business intelligence, or a related analytical role.
  • Background in payment, banking, or fintech is required.
  • Strong proficiency in SQL and at least one analytical programming language such as Python or R.
  • Experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar.
  • Familiarity with payment ecosystems, including card processing, local payment methods, settlement flows, or digital wallets.
  • Strong analytical thinking with the ability to translate complex data into clear, actionable insights.
  • High attention to detail and a strong commitment to data accuracy.
  • Ability to work independently in a remote environment.
  • Comfort working across different time zones.
  • Knowledge of card issuance, payment processing, or digital banking products is preferred.
  • Experience with statistical analysis, forecasting, or machine learning techniques is preferred.

Benefits

  • Study Growth Fund to support professional development and continuous learning.
  • Regular internal events, workshops, and team-building activities.
  • Global collaboration with a diverse, international team.
  • Career advancement opportunities within a rapidly expanding global company.
  • Internal mobility and internal job opportunities to support long-term career growth.

Interested in this position?

Apply directly on the company website

Apply Now

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