Data Analyst, Product

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Kraken Digital Asset Exchange

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

📋 Description

• Operate as a full-stack data analyst within the Pro team, owning your domain completely while collaborating closely with colleagues across the pod. • Own the design and evolution of dashboards, north star metrics and analytical frameworks that drive decisions at the highest level of the business. • Build and maintain data infrastructure at scale, from scalable dbt models and production pipelines to full-funnel reporting that powers cross-functional teams. • Lead experimentation across the Product domain by designing and owning A/B testing frameworks, applying causal inference techniques and turning results into clear, confident recommendations that influence product strategy. • Influence technical direction across the data team, contributing to how we build, what we prioritise and how we raise the bar on data quality and engineering standards. • Embed AI tooling into your workflow in ways that have tangible business impact, including LLM-augmented pipelines and GenAI-assisted analytics workflows. • Deliver insights through clear, data-driven storytelling to technical and non-technical audiences, including senior leadership.

🎯 Requirements

• 7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, financial market or crypto where data quality and scale are non-negotiable. • Hands-on experience with advanced trading products and solutions in equities, crypto, or other assets. • Hands-on experience building and owning production data pipelines, with strong familiarity with dbt and Airflow or equivalent orchestration tools. • Full mastery of SQL including complex joins, CTEs and analytical functions, alongside strong Python proficiency for pipeline development and analysis. • Hands-on experience designing and running A/B tests and experimentation frameworks, with the ability to apply causal inference techniques and translate results into clear growth recommendations. • Demonstrated experience leading cross-functional data initiatives from design to delivery, with measurable business outcomes you can point to. • A degree in a field emphasising analytical rigour such as software engineering, economics or a hard science. • Fluency in English.

🏖️ Benefits

• This range is not inclusive of other additional compensation elements, such as our Bonus program, Equity program, Wellness allowance, and other benefits [US Only] (including medical, dental, vision and 401(k)). • Bonus program • Equity program • Wellness allowance • Medical benefits • Dental benefits • Vision benefits • 401(k) plan