Data Analyst - Product

Summary

Join Kraken's data team and embark on a transformative journey, directly influencing the cryptocurrency landscape. As a core part of Kraken's decision-making process, you will define success by developing data models, leading cross-functional projects, and building data pipelines. You will also develop and automate reporting of key performance indicators, create intuitive dashboards, and deliver data-driven insights to shape product direction. This fully remote position requires a degree in a relevant field, proficiency in SQL and Python, experience with data pipelines, and strong communication skills. Kraken is committed to industry-leading security, crypto education, and world-class client support.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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