Data Analyst

Data Analyst – Onchain Join to apply for the Data Analyst – Onchain role at Kraken 2 days ago Be among the first 25 applicants Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. Kraken is a mission‑focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry‑leading security, crypto education, and world‑class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. The team At Kraken, onchain data isn’t just numbers, it’s the pulse of crypto. The Onchain team lives where code meets capital, turning raw blockchain data into insight, strategy, and alpha. We’re looking for a Data Analyst, Onchain, a true degen who’s fluent in wallets, mempools, and market structure, and who can translate that intuition into data models and dashboards that shape how Kraken builds and trades onchain. If you decompile smart contracts for fun, monitor DEX volume before coffee, and have opinions about MEV, this is your scene. You’ll help Kraken understand where liquidity lives, how capital moves, and what signals the next trade, product, or market entry. The opportunity Partner with product, trading, and data teams to uncover insights across the full onchain user journey from first trade to long‑term retention. Build and maintain datasets capturing wallet activity, liquidity movement, feature usage, and trading behavior. Design metrics and dashboards in dbt and BI tools that reveal trends in user growth, engagement, and trading activity. Analyze funnels, LTV, and retention metrics to inform product strategy and optimize user experience. Investigate onchain signals (wallet clustering, transaction flow, and capital allocation) to identify growth opportunities. Develop frameworks to attribute trading performance and ROI across products, markets, and user segments. Collaborate with engineers to scale onchain data pipelines and improve data quality and accessibility. Communicate insights clearly and visually, translating complex blockchain data into simple, actionable stories. Skills You Should HODL 3+ years in product or trading analytics, ideally within crypto, fintech, or data‑driven trading environments. Strong grasp of onchain fundamentals — wallets, DEXs, liquidity, bridges, and token mechanics. Proficiency in SQL, Python (pandas, matplotlib, plotly), and dbt for modeling and analysis. Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly. Familiarity with onchain data sources (Dune, Flipside, Nansen, APIs, or subgraphs). Proven ability to measure user behavior and product health through LTV, retention, funnel, and engagement metrics. Strong communicator who can align data insights with product and trading strategies. You’re crypto‑native — curious, analytical, and hands‑on with the tools and products you analyze. Nice to haves Experience modeling MEV flows, liquidity provisioning, or token distribution mechanics. Exposure to algo trading, onchain market‑making, or portfolio attribution systems. Contributions to open‑source DeFi analytics or onchain dashboards. This job is accepting ongoing applications and there is no application deadline. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Referrals increase your chances of interviewing at Kraken by 2x. Get notified about new Data Analyst jobs in Mexico . #J-18808-Ljbffr