Senior Marketing Analyst (AI & Web3) at Somnia (Backed by Improbable)

This is "Moneyball" for Crypto. Somnia is an L1 blockchain built for speed and "Agentic" workflows (AI agents doing things on-chain). They don't want a generic marketing analyst who looks at Google Analytics and says "traffic is up." They want a Data Scientist / On-Chain Sleuth who can prove exactly which Key Opinion Leader (KOL) tweet caused a spike in wallet connections.

The Core Challenge: Marketing attribution in crypto is notoriously broken. Users see a tweet, go to a Discord, click a link, swap tokens on a DEX, and then bridge to Somnia. Your job is to bridge the gap between Web2 data (Clicks/Views) and Web3 data (Wallet Signatures/Transactions). You are building the "God View" dashboard that tells the CMO exactly where to spend the next $1M.

## Key Responsibilities
The "KOL Auditor": You will determine if the influencers they are paying are driving real users or just "vanity metric hype" (bots). You need to trace their referral links all the way to On-Chain Volume.

The "War Room" Builder: You are building real-time dashboards (Tableau/Looker) that show the health of the chain: TVL (Total Value Locked), MAW (Monthly Active Wallets), and CDAV (Cumulative Daily Active Volume).

Agentic AI Tools: The JD explicitly mentions building "Agentic AI tools" to collect data. This implies you should be comfortable writing Python scripts that scrape Discord/Twitter sentiment and correlate it with token price or volume.

## Strategic Analysis: The "Agentic L1" Angle
What is an "Agentic L1"? Most blockchains are passive (they wait for user input). Somnia claims to be optimized for AI Agents that act autonomously.

Your Data Challenge: You aren't just tracking humans. You might be tracking AI Bots that are trading or interacting with the chain. Your metrics need to distinguish between "Human Volume" and "Agent Volume."

The "Improbable" Connection: Since this is backed by Improbable (Metaverse tech), expect a focus on high-frequency/low-latency data. This isn't just a DeFi chain; it's likely building towards gaming/social use cases where data volume is massive.

## Candidate Profile: The "Full-Stack" Analyst
SQL + Python: You need SQL to query the blockchain indexers (like Dune or The Graph) and Python to model the data.

The "Degen" Translator: You need to understand DeFi mechanics (CLOB vs. AMM, Slippage, Oracle Disputes). If you don't know what "Impermanent Loss" or a "Sybil Attack" is, you won't be able to interpret the data correctly.

Tooling Mastery: They specifically list Kaito (a crypto-native search/sentiment engine). Familiarity with this tool is a huge plus.

## Critical "Knockout" Criteria
Time Zone: They are explicit about GMT/Europe. If you are in PST (California) or APAC, you will likely be rejected unless you commit to working their hours.

On-Chain Querying: You must be able to write queries for Dune Analytics or Flipside Crypto. If you've only used Google Analytics, you are underqualified.

Attribution Hard Skills: Can you explain how to link a Twitter click ID to a wallet address? (Hint: You usually can't directly, so you need proxies like "Time-Decayed Attribution" or "Referral Codes" mapped to on-chain events).