16 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Senior Data Analyst (Crypto)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Data Analyst (Crypto): Analyzing VIP user behavior and Earn product performance across lifecycle, trading, retention, and monetization metrics with an accent on dashboards, LTV modeling, data quality, and financial product analytics. Focus on building ETL pipelines and data models, evaluating experiments, resolving metric discrepancies, and translating complex data into actionable recommendations.
Location: Abu Dhabi, UAE; remote work environment with collaboration across different time zones.
Company
Cryptocurrency exchange and digital financial platform providing trading, payments, wealth management, custody, institutional services, and Web3 products.
What you will do
- Analyze VIP user behavior across qualification, tier changes, engagement, trading activity, retention, and churn.
- Build dashboards and automated reports for VIP program performance, Earn metrics, and user health indicators.
- Conduct deep-dive analyses of Earn subscriptions, redemptions, yields, asset allocation, and retention.
- Identify high-value segments, model LTV, and recommend improvements to VIP tiers, benefits, and retention strategies.
- Monitor data quality, resolve metric discrepancies, and develop data models and ETL pipelines for VIP and Earn datasets.
- Support product, marketing, and finance teams with ad hoc analysis, A/B test evaluation, metric definitions, and campaign impact assessments.
Requirements
- Fluent English and Mandarin, written and spoken.
- 5+ years of experience in data analysis, business intelligence, or a related analytical role.
- Background in financial products, wealth management, membership or loyalty programs, or fintech.
- Strong SQL skills and proficiency in Python or R.
- Experience with Tableau, Looker, Power BI, or similar BI and visualization tools.
- Experience with user lifecycle analysis, including activation, retention, churn, and LTV modeling; ability to work independently in a remote environment.
Nice to have
- Familiarity with crypto financial products such as staking, flexible or fixed Earn, DeFi yield mechanisms, or structured products.
- Experience analyzing VIP, private banking, loyalty, or other tiered high-value user programs.
- Experience with statistical analysis, forecasting, or machine learning techniques.
- Previous experience at a crypto exchange or digital asset platform.
Culture & Benefits
- Professional development support through a Study Growth Fund.
- Internal team-building events, workshops, and collaboration activities.
- Collaboration with an international team across global markets.
- Career advancement opportunities and internal mobility.
- High-performance, fast-moving environment focused on innovation and user impact.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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