Data Analyst – Product

Embark on a transformative journey with Kraken’s data team, where your expertise will directly influence the evolution of the cryptocurrency landscape.

The data team is the backbone of decision-making at Kraken. And no company can grow without high quality decision-making that incorporates what success looks like. You will be quite literally and quantitatively defining success on a daily basis. For our growth, our products, and our leadership.

Join us, and be part of a team where data is not just an asset; it’s our language, our tool, and our future.

The opportunity

• Your data expertise will inform our product development, impacting how we build the next generation of products
• 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
• 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 product direction through clear, data-driven storytelling

Skills you should HODL

• A degree in a field emphasizing analytical rigor, such as software engineering, economics, or a hard science
• Proficiency in SQL and familiarity with Python libraries such as pandas, matplotlib, and plotly
• 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
• Familiarity with dbt (data build tool) and version-controlled analytics workflows
• Curious and investigative, with a natural tendency to explore data deeply and spot hidden patterns
• Comfortable in fast-paced environments, delivering quality work with speed and adaptability
• Strong communicator who can simplify complex data ideas for both technical and non-technical audiences

Nice to haves

• Familiarity with machine learning model development
• 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