About the company
Kraken, the trusted and secure digital asset exchange, is on a mission to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Our 2,350+ Krakenites are a world-class team ranging from the crypto-curious to industry experts, united by our desire to discover and unlock the potential of crypto and blockchain technology. As a fully remote company, we already have Krakenites in 70+ countries (speaking 50+ languages). We're one of the most diverse organizations on the planet and this remains key to our values. We continue to lead the industry with new product advancements like Kraken NFT, on- and off-chain staking and instant bitcoin transfers via the Lightning Network.
Job Summary
The opportunity
📍Your analyses will inform our web3 & onchain products impacting the assets we list, their performance and liquidy 📍Translate onchain data findings into actionable strategies that bolster our customer acquisition efforts or product offerings 📍Drive continuous improvement initiatives by proactively monitoring product performance metrics and conducting in-depth analyses to identify areas for optimization. 📍Work closely with product, engineering, and marketing to spearhead projects that boost the user experience and health of our crypto investment ecosystem. 📍Act as a key advisor, providing insights and recommendations based on data analysis to support strategic decision-making processes related to asset performance and optimizing key financial levers such as risk caps 📍Utilize data modeling and data engineering expertise to manage and analyze large internal datasets as well as onchain datasets.
Skills you should HODL
📍have 2+ years of professional experience working within the cryptocurrency ecosystem and financial markets. 📍Experienced Analyst: With 2+ years in the data analytics field, you're a pro with SQL, scripting languages (Python, R), data modeling and pipelining. 📍Statistically Minded: You have a firm grasp of statistical concepts and experience with BI software (Superset/Tableau). 📍Technologically Versatile: Experienced with data warehouse development and best practices, you're also eager to learn new technologies. 📍Clear Communicator: You can simplify complex data insights for anyone to understand, whether they're tech-savvy or not. 📍Additional Knowledge: Familiarity with data tools like Druid, Hadoop, Airflow, Tableau, and Superset is advantageous.
