kraken.com - Sr. Data Analyst, Product

• We're looking for a Senior Data Analyst, Product to join our team remotely. This is a staff-level individual contributor role where you will own the Product domain end to end. You won't just be answering questions. You'll be deciding which questions are worth asking, building the infrastructure to answer them at scale, and influencing the technical direction of the team along the way. Experimentation is core to how we work. We run rigorous A/B tests, apply causal inference at scale and treat experimentation as a first-class discipline, not an afterthought. • You'll own production-grade pipelines, dbt models, dashboards and metric frameworks. You'll define north star metrics, drive experimentation infrastructure and translate results into clear business recommendations. You'll also play an active role in shaping how AI tooling is embedded into how we work, from LLM-augmented pipelines to GenAI-assisted workflows that have real, measurable impact on the business. • At this level, we expect more and we expect it faster. You'll operate with a high degree of autonomy, move quickly without sacrificing quality, and set a bar that raises the team around you. • 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. • Solid understanding of the cryptocurrency space and how financial markets function. • Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. • Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. • We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. • Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! • We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision.