Data Analyst, Product

Building the Future of Crypto

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 Opportunity

Act as a trusted business advisor who influences decision-making for the growth team and deeply understands the business, both inside and out Own the design of dashboards, metrics, and reports, turning data into actionable insights for the growth team, cross functional partners, and the leadership team Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics and ML models Lead cross-functional projects with analysts, scientists, engineers, and product teams to build data pipelines using Airflow, Python, and modern ETL frameworks Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action Develop and automate reporting of key performance indicators of various Kraken's products at scale Develop high-quality code for pipelines and dashboards, incorporating software engineering best practices Deliver insights that shape growth direction through clear, data-driven storytelling.

Requirements

• 5+ years of experience in data analysis and data management within the financial services industry, ideally gained in a fast-paced, high-growth environment
• Hands-on experience trading derivatives (such as perpetuals, futures, or similar instruments) is required, whether gained professionally or through personal trading as a hobby or passion
• Experience working closely with product teams to analyze and optimize performance across the product funnel and related business metrics, ideally within a trading environment
• Expert SQL skills—including complex joins, CTEs, and analytical functions—paired with familiarity in Python libraries such as pandas, matplotlib, and plotly
• Hands-on experience using dbt (data build tool) to model and organize marketing, product, or performance data for reporting and decision-making
• Experience setting up and managing data pipelines, with a strong understanding of data workflow orchestration
• Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly
• Strong communicator who can simplify complex data ideas for both technical and non-technical audiences
• A degree in a field emphasizing analytical rigor, such as software engineering, economics, or a hard science

Nice to Haves

• Deep interest in improving user experiences through better product analytics and experimentation
• Passion for continuous learning and approaching problems with a beginner's mindset
• Solid understanding of the cryptocurrency space and how financial markets function