Web3 Business Analyst - Trading
Monitor trading and user behavior in real time, analyze market and user data, build dashboards and cohort analyses, design incentive and referral mechanics, model ROI, benchmark competitors, define instrumentation, run experiments, and report actionable findings to stakeholders.
Responsibilities
- Track order flow, liquidity depth, spreads, funding, basis, open interest, fees, and slippage and surface anomalies and opportunities
- Build daily and weekly dashboards on user cohorts, retention, and contribution to volume and fees
- Write concise metric summaries with action recommendations
- Design and iterate points, rebates, and referral mechanics with anti-abuse guardrails
- Model ROI for incentive programs and recommend parameter adjustments
- Benchmark competitor incentives, listings, and policy changes
- Define metric trees and own instrumentation specifications and dashboards
- Run A/B tests on campaigns, landing pages, and fee or price experiments and report impact
Requirements
- 3–6+ years in business, growth, or trading analytics across crypto, FX, equities, derivatives, or fintech
- Strong SQL skills
- Proficiency in Python or R
- Spreadsheet fluency
- Dashboarding experience with Metabase, Looker, or Data Studio
- Product analytics and experimentation experience with Mixpanel, Amplitude, A/B testing, cohort analysis, and funnel math
- Familiarity with on-chain and market data tools such as Dune, Flipside, and Nansen, plus basic blockchain data structures
- Markets literacy including order books versus AMMs, spreads, depth, funding, fair basis, and maker-taker dynamics
- Excellent decision-oriented communication and executive briefing experience
- Experience with points, loyalty, referrals, fraud vectors, market making, liquidity programs, risk, or compliance is nice to have