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Bullish

Research Analyst

NEW
LondonFull-timeGlobal
šŸ  On-site
ActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will analyze on-chain and exchange-level datasets to produce clear, data-driven research. You will query, clean, and analyze large datasets using BigQuery, SQL and Python, build repeatable analytical frameworks, collaborate with engineering on data pipelines and dashboards, and write high-quality research reports and client deliverables.

Requirements

  • ā—Crypto-native background with hands-on experience across blockchain ecosystems (e.g. DeFi usage, governance participation, staking)
  • ā—Strong understanding of Layer-1 and Layer-2 architectures, rollups, and governance mechanisms
  • ā—Proven ability to work with complex datasets and derive original, data-backed insights
  • ā—Proficiency in SQL (BigQuery) and working knowledge of Python for data analysis
  • ā—Familiarity with on-chain data tools such as Dune, Nansen, and Glassnode and with exchange/market data sources
  • ā—Strong research writing skills with the ability to clearly explain complex systems and findings
  • ā—Preferred: experience in institutional-grade research, crypto investment research, or blockchain analytics
  • ā—Preferred: exposure to dashboards, data products, or research automation workflows
  • ā—Preferred: experience working alongside data engineers or in data-heavy research teams
  • ā—Preferred: experience contributing to paid research or advisory deliverables

Responsibilities

  • ā—Conduct in-depth research on Layer-1 and Layer-2 protocols, including on-chain activity, tokenomics, governance, and ecosystem growth
  • ā—Analyze exchange-level market data including spot and derivatives volumes, liquidity, stablecoin activity, and CEX vs DEX dynamics
  • ā—Work with CoinDesk Data APIs, internal datasets, and third-party on-chain data sources
  • ā—Query, clean, and analyze large complex datasets using Google BigQuery, SQL, and Python
  • ā—Build repeatable analytical frameworks for research reports and client engagements
  • ā—Collaborate with Research Engineering on data pipelines, dashboards, and automated research workflows
  • ā—Produce clear, well-structured written research from long-form reports to analytical sections
  • ā—Support flagship market quality research, exchange-level analysis, and bespoke client research projects across spot, derivatives, and stablecoin markets

Tech Stack

governancestablecoinAPIliquiditydashboardspotPythonSQLLayer 2Nansenproject:CoinDesk
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