Data Analyst, Product

Kraken

1d•Remote

About The Position

Kraken is seeking a Data Analyst, Product to join their fully remote team. This role is crucial for transforming complex product data into actionable insights that enhance user experience, support new feature development, increase engagement, and inform high-impact product decisions for leadership. The position operates at the intersection of data engineering, product analytics, and experimentation within a fast-paced, high-growth environment. Success requires not only technical expertise but also the ability to act as a business partner, combining data-driven insights with a deep understanding of product funnels and user behavior metrics. The analyst will manage end-to-end data processes, including building and maintaining datasets and pipelines, designing dashboards, and generating insights for Product and leadership teams. Additionally, the role involves driving experimentation infrastructure and automating reporting workflows to improve efficiency and speed up decision-making. The Data Analyst, Product will be responsible for quantitatively defining success for Product and leadership teams.

Requirements

7+ years of data analysis experience with deep knowledge of product KPIs, full funnel performance, and the ability to connect marketing and product insights to drive business growth.
SQL mastery, including complex joins, CTEs, and analytical functions.
Strong hands-on Python proficiency.
Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration.
Hands-on experience designing and running A/B tests and experimentation frameworks with the ability to translate results into clear growth recommendations.
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.
Aligned with the values outlined in Kraken's Tentaclements document.
A degree in a field emphasizing analytical rigor such as analytics, software engineering, or economics.
Based in the US, Canada, UK, Germany, Spain, Cyprus or Portugal with flexibility on working hours to support a globally distributed team.

Nice To Haves

Fintech or crypto background is a plus.
Product instinct comes first. You know how to turn data into decisions and connect the dots between user behaviour and business impact. If you also trade derivatives on the side, perpetuals, futures or similar, that understanding of how traders think will set you apart.
Familiarity with dbt is welcomed and will set you apart, though it is not a strict requirement.
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.

Responsibilities

Own the design of dashboards, product metrics, and performance reports, turning data into actionable insights for stakeholders, cross-functional partners, and product teams
Automate product data solutions, reporting workflows, and pipelines to boost efficiency and minimise manual intervention
Dive into large, complex datasets to turn findings into scalable data models that facilitate full funnel reporting, analytics, and ML models
Translate product and business requests into accurate reports and automated data pipelines using Python, SQL, dbt, and Airflow
Lead cross-functional projects with analysts, engineers, and product teams to build and maintain high-quality data pipelines and sources
Drive experimentation infrastructure by leading the design and launch of A/B testing frameworks, testing hypotheses, and translating results into clear product recommendations
Support ad-hoc data requests for feature performance, user onboarding, product reviews, and day-to-day business needs
Deliver insights that shape product direction through clear, data-driven storytelling