Data Analyst

Join to apply for the Data Analyst - Payments & Blockchain role at Kraken . 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. What makes us different? 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. The team At Kraken, the Payments & Blockchain team sits at the intersection of blockchain data, product behavior, and financial infrastructure. We transform raw blockchain signals, payments logs, and platform usage into insight that guides product, trading, and operational decisions. We dive deep into how users move liquidity, interact onchain, and transact through our payments rails, and we make that knowledge accessible, actionable, and scalable across the company. The opportunity Analyze blockchain and payments data (wallet activity, liquidity flows, protocol events) at scale. Validate blockchain transactions and reconcile onchain data with internal ledgers and data sources. Interact with blockchain APIs and our data lake to ensure data accuracy and consistency. Build and maintain automated data models and ETL pipelines using SQL, Python, Airflow, and dbt. Design dashboards that reveal trends across user growth, capital movement, and transaction health. Develop and automate KPIs to monitor product health, payments success, and system reliability. Partner with engineers to improve data quality, schema design, and pipeline performance. Communicate insights through clear, actionable storytelling accessible to all audiences. Skills You Should HODL 3+ years in analytics, ideally in crypto, fintech, or financial platforms. Strong understanding of blockchain fundamentals (wallets, bridges, DEXs, token mechanics). Proficiency in SQL and Python (pandas, numpy, visualization tools). Experience developing ETL pipelines with Airflow or equivalent orchestrators. Familiarity with dbt and version-controlled analytics workflows. Ability to build clear and intuitive BI dashboards (QuickSight, Tableau, etc.). Strong analytical and problem-solving skills with a detail-oriented mindset. Excellent communication skills for translating technical findings into business impact. Nice to have Experience reconciling blockchain and internal financial data at scale. Expertise automating reconciliation, validation, or monitoring systems in data environments. 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 #J-18808-Ljbffr