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P2P.org

Data Analyst

Reposted Yesterday
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India
Senior level
India
Senior level
Analyze large datasets for strategic insights, develop monitoring models and dashboards, conduct exploratory analysis, and present findings to diverse audiences.
The summary above was generated by AI

P2P.org is the largest institutional staking provider with a TVL of over $10B and a market share exceeding 20% in restaking.

We are continually focused on researching and improving our infrastructure to extract maximum APR while enhancing security. For instance, in ETH and SOL, our NRR is on average 10% higher than the market, and in DOT, it's 20% higher.

We also place significant focus and resources on launching new networks such as TON, Avail, Monad, Babylon, Story, Berachain, and others, along with yield products. From restaking, where we are the largest operator with a 20+% market share, to yield aggregators on stablecoins.

Our clients include BitGo, Copper, Crypto.com, Ledger, ByBit, Bitget, OKX, HTX, Bitvavo, SBI, and others, who choose us for our client-centric approach and extensive product line from unified API to widgets and custom dApps.

We are also actively expanding our product line, exploring RWA, data, yield, and service products for banks, exchanges, custodians, and wallets.

P2P.org unites talented individuals globally ❤️

Despite our distributed team, we share a passion for decentralized finance - a fairer system for all. We code, learn, create, and connect to shape finance's future 💰

P2P.org boasts a strong reputation and network. We prioritize customer satisfaction and, as tech enthusiasts, develop innovative solutions that bolster our brand.

You will
  • Analyze large, complex datasets (on-chain and off-chain) to derive strategic and product insights

  • Develop models and dashboards to monitor validator performance, user behavior, and protocol performance

  • Investigate network economics, user incentives, and staking flows to support growth strategies, research new revenue opportunities

  • Conduct exploratory and root-cause analysis of ecosystem or performance changes

  • Build data tools and reporting frameworks to scale internal decision-making

  • Present insights and data stories clearly to technical and non-technical audiences

You have
  • 5+ years of experience in data analysis, strategy, or research roles in tech, fintech, or crypto

  • Proficiency in advanced SQL and Python (must be comfortable working with large, complex datasets)

  • Strong business acumen and problem-solving skills – ability to work from ambiguous problem statements to clear recommendations

  • Excellent written and verbal communication skills (English)

  • Experience with data visualization tools like Superset, Metabase, Looker, or Tableau

  • Bachelor's or Master’s degree in Engineering, Statistics, Mathematics, Economics, or related field

Nice to have
  • Prior work in Web3, or an active interest in the crypto space

  • Experience with blockchain data platforms: Dune Analytics, The Graph, Flipside, etc.

  • Exposure to staking protocols, validator infrastructure, or DeFi analytics

  • Experience of building data pipelines with tools like dbt, Airflow etc.

At P2P.org we have a team of experts with their own unique approach and ownership culture. Together we gain experience and make dreams come true! 🌟

  • Full-time Contractor (Indefinite-term Consultancy Agreement)

  • Competitive salary level in $ (we can also pay in Crypto)

  • Well-being program

  • Mental Health care program

  • Compensation for education, including Foreign Language & professional growth courses

  • Equipment & co-working reimbursement program

  • Overseas conferences, community immersion

  • Positive and friendly communication culture

P2P.org is committed to providing equal opportunities. All applicants will be considered without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, veteran status, or disability.

Top Skills

Airflow
Dbt
Dune Analytics
Flipside
Looker
Metabase
Python
SQL
Superset
Tableau
The Graph

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