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  • How to Switch from Data Analyst to DAO Analyst Role?

    Victor P

    Member

    Updated: Mar 27, 2025
    Views: 1.2K

    I’ve been a data analyst for a few years, but lately I came across the DAO concept, which is very impressive. The idea of communities making decisions together is an absolute necessity, and I am now exploring a career option as a DAO analyst.

    I need help in this shift. Can anyone guide me :

    1. What skills transfer? I know SQL, Python, and data viz tools—are those still relevant in DAOs or is it a whole new ballgame?

    2. What should I learn next? Blockchain basics? Tokenomics? Smart contracts? Where do I start?

    3. Day-to-day work: What does a DAO analyst’s work? which specific tools/platforms they use?

    4. Getting started: Any DAOs or projects that are newbie friendly? Just want to contribute and learn without feeling overwhelmed.

    If you’ve made the switch or work in this space, your help will be much appreciated. Seriously, any advice, resources or “wish I’d known” tips would be amazing. Thanks!

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  • Tushar Dubey

    Member • 1mo

    Welcome to the DAO rabbit hole—it’s a thrilling space, and your data background is a huge asset. Let’s break this down:

    Skills that transfer: Your SQL, Python, and data viz expertise are gold. DAOs thrive on on-chain data (transactions, governance votes, token flows), so querying blockchain datasets with SQL-like tools (Dune Analytics, Flipside Crypto) or analyzing them in Python (using libraries like web3.py) is core work. Data viz matters even more here—you’ll translate complex tokenomics or governance patterns into digestible insights for decentralized teams.

    What to learn: Start with blockchain fundamentals (try Ethereum’s Introduction to Ethereum) and tokenomics (study DAO token models like MakerDAO or Uniswap). Smart contracts are critical—interact with them practically using Etherscan or explore basics via CryptoZombies.

    Day-to-day: You’ll analyze governance proposals, voter behavior, treasury management, and member engagement. Tools: Dune for dashboards, Tally for governance analytics, DeepDAO for DAO metrics. Expect to collaborate via Discord and present findings to decentralized teams (adaptability is key—DAOs move fast).

    Getting started: Dive into smaller DAOs like BanklessDAO or DAOhaus—many have “newcomer” channels. Contribute to bounties (e.g., Gitcoin) to build cred.

    Pro tip: DAOs value community trust. Start by participating in discussions, then offer data insights. And yes, the jargon is intense—bookmark Token Engineering 101 and follow DAO analysts on Twitter (e.g., @pet3rpan).

    You’re already ahead—data rigor + curiosity = a killer combo here. Feel free to DM me for deeper resource dives!

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