Data Analyst, Product Data Analytics

About the Role

Join our team as a Data Analyst, Product, where you will elevate decision-making by uncovering emerging trends and root causes, and developing tools to drive insights into product performance and business growth. This role is crucial for defining success and shaping strategic initiatives across the organization.

About the Team

The data team at Kraken is the backbone of decision-making, treating data as a strategic asset and the foundation of trust. As a Data Analyst, Product, you will be a true business partner, combining data-driven insights with strategic thinking to shape growth initiatives and drive measurable impact. You will own end-to-end data management, from building datasets and pipelines to designing dashboards and insights for the Product team, and contribute to experimentation infrastructure.

Responsibilities

• Act as a trusted business advisor, influencing decision-making for growth teams and deeply understanding the business.
• Own the design of dashboards, metrics, and reports, translating data into actionable insights for various stakeholders.
• Dive into large, complex datasets to create scalable data models for reporting, analytics, and machine learning.
• Lead cross-functional projects to build data pipelines using Airflow, Python, and modern ETL frameworks.
• Develop and automate reporting of key performance indicators for Kraken’s products at scale.
• Produce high-quality code for pipelines and dashboards, adhering to software engineering best practices.
• Deliver insights that shape growth direction through clear, data-driven storytelling.

Requirements

• 3+ years of experience in data analysis and data management within the financial services industry, preferably in a fast-paced, high-growth environment.
• Hands-on experience using dbt (data build tool) to model and organize marketing, product, or performance data.
• 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.
• Capability to create intuitive dashboards and visualizations to clearly communicate complex insights.
• Strong communication skills, able to simplify complex data ideas for both technical and non-technical audiences.
• Passion for investing or day trading (equities or crypto) with professional or personal exposure to trading products.
• 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.