Sr. Data Analyst, Product

Kraken is a mission-focused company rooted in crypto values, developing premium crypto products for experienced traders, institutions, and newcomers. The company operates fully remotely with employees in over 70 countries and offers products such as Kraken Pro, Desktop, Wallet, and Kraken Futures.

• 10+ years of experience in data analytics or analytics engineering, ideally in fintech, payments, crypto, or high-scale marketplaces.
• Proven track record of building and owning data infrastructure at scale.
• Deep expertise with dbt in production environments.
• Strong experience managing ELT/ETL pipelines end to end, with familiarity with Airflow or equivalent tools.
• Mastery of SQL and strong Python proficiency for pipeline development and production-grade code.
• Hands-on experience designing, running, and owning experimentation programs including A/B testing and causal inference.
• Experience deploying AI tools including LLM-augmented pipelines or GenAI-assisted workflows.
• Track record of influencing technical direction and data strategy.
• Strong communication skills for technical and non-technical audiences, including senior leadership.
• Degree in software engineering, economics, or a hard science.
• Based in Canada, the US, the UK, or the EU and fluent in English.

Nice to haves:

• Solid understanding of the cryptocurrency space and financial markets.

• Operate as a full-stack data analyst within the Product team, owning the domain completely and collaborating across the pod.
• Own the design and evolution of dashboards, north star metrics, and analytical frameworks driving high-level business decisions.
• Build and maintain scalable data infrastructure including dbt models and production pipelines.
• Lead experimentation by designing and owning A/B testing frameworks and applying causal inference techniques.
• Influence technical direction across the data team, prioritizing data quality and engineering standards.
• Embed AI tooling such as LLM-augmented pipelines and GenAI-assisted workflows with measurable business impact.
• Deliver clear, data-driven storytelling to both technical and non-technical audiences, including senior leadership.

Applicants must be based in Canada, the US, the UK, or the EU and fluent in English. The company is an equal opportunity employer and considers qualified applicants with criminal histories consistent with the San Francisco Fair Chance Ordinance. Applications are accepted on an ongoing basis unless a specific deadline is stated. Applicants may redact personal identifying information on resumes.