Improbable - Senior Marketing Analyst (AI & Web3)
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Requirements
• You make the complex useful - we’re looking for an inquisitive, excitable data owner - someone who likes uncovering secrets, opportunities and threats in the marketing numbers • Web3 Analytics: 4+ years of experience in data analytics, specifically within DeFi or L1/L2 ecosystems. • Marketing Ops Proficiency: Familiarity with Headless CMS websites, Google Analytics, SEO tracking, and social sentiment tools (eg Kaito). • Technical Breadth: Ability to query on-chain data (SQL) and translate complex Agentic AI settlement logs into digestible growth reports for the team. • Market Knowledge: Deep understanding of prediction market mechanics (CLOB vs. AMM), oracle disputes, and the current KOL/Alpha landscape on Crypto-X. • Agility: Comfortable pivoting strategies (from organic to "Fuel Injection" contingency funds) based on real-time PMF signals. • Improbable Candidate Privacy Policy
Responsibilities
• Technical Skill Set - Lead Marketing Analyst • On-Chain Data Analysis: Advanced SQL for querying L1 data and experience with indexers and subgraphs to track real-time protocol events. • Marketing Attribution: Expertise in GTM (Server-Side) and GA4 to bridge off-chain social/KOL clicks to on-chain conversion and deposit data. • Analytics & Visualization: Proficiency in the likes of Tableau, Power BI, Looker to build real-time "War Rooms" and performance dashboards for KOL venue owners. • AI & Social Intelligence: Skilled in Kaito (Smart Followers) and sentiment analysis with the ability to build Agentic AI tools to colllect, order and analyse data across multiple channels, protocols and geos. • Data Science & Forecasting: Python (Pandas/NumPy) or R for predictive modelling of slippage degradation, volume triggers, and efficiency. • Multi-Channel Performance Attribution • Holistic Tracking: Map the full user journey from ‘Social Impression’ (KOL/X) to ‘On-chain Action (prediction venue and DEX deposits and trades) and owned web properties like the Dapp/ Website/ Landing page. • KOL & Creator ROI: Analyse sprints to identify which KOLs drive the highest new user onboarding, retention and volume vs. vanity metric hype. • Content & Copy Analytics: Use A/B testing methodologies to create feedback loops so we can optimise copy and video content for our websites, content partners, socials and PR. • GTM & Partner Intelligence (KOLs, Builders, Traders, Institutions and Retail Customers ) • Builder Funnel: Track the conversion rate of Builder tracks from SDK/API documentation views to live venue deployment and market volume. • BD Support: Create data-backed KOL shortlists for the BD team using tools like Kaito and on-chain history. • Event Impact: Measure the lead-generation efficacy of global events (e.g. ETH Cannes, KBW, Token2049) and their impact on venue acquisition. • Strategic Forecasting & Reporting • KPI Stewardship: Own the monthly and quarterly reporting for Total Live Venues, MAW (Monthly Active Wallets), Total Value Locked (TVL) and Cumulative Daily Active Volume (CDAV). • Competitive Benchmarking: Maintain a Competitor Matrix using data to highlight where our chain and protocol’s agentic AI provides a superior competitive edge.
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