Sr. Data Analyst, Product

Join Kraken as a Senior Data Analyst, Product to shape product decisions through data-driven insights and experimentation in a fully remote environment.

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto!

• •Operate as a full-stack data analyst within the Product 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 and growth 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.

• •10+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, crypto or a high-scale marketplace where data quality and scale are non-negotiable.
• •Proven track record of building and owning data infrastructure at scale, not just using it. You've built the pipelines, defined the models and taken ownership of what happens when things break.
• •Deep expertise with dbt is a must. You've used it in production, you know its limits and you've built models that others depend on.
• •Strong experience managing ELT/ETL pipelines end to end, with hands-on familiarity with Airflow or equivalent orchestration tools.
• •Full mastery of SQL and strong Python proficiency for pipeline development, analysis and production-grade code.
• •Deep hands-on experience designing, running and owning experimentation programmes including A/B testing frameworks and causal inference at scale. You've built the infrastructure, not just used it, and you can translate results into clear business decisions.
• •Experience deploying AI tools including LLM-augmented pipelines or GenAI-assisted workflows with demonstrable business impact.
• •A track record of influencing technical direction and data strategy, not just executing within it.
• •Strong communicator who can simplify complex data ideas for both technical and non-technical audiences, including senior leadership.
• •A degree in a field emphasising analytical rigour such as software engineering, economics or a hard science.
• •Based in Canada, the US, the UK or the EU and fluent in English.