Sr. Data Analyst, Product

Kraken

2d • Remote

About The Position

Kraken is seeking a Senior Data Analyst, Product to join their fully remote team. This staff-level individual contributor role involves owning the Product domain end-to-end, including defining key questions, building scalable infrastructure, and influencing the team's technical direction. The role emphasizes rigorous A/B testing, causal inference, and treating experimentation as a core discipline. Responsibilities include owning production-grade pipelines, dbt models, dashboards, and metric frameworks, defining north star metrics, driving experimentation infrastructure, and translating results into business recommendations. The role also involves shaping the integration of AI tooling, such as LLM-augmented pipelines and GenAI-assisted workflows, to achieve measurable business impact. High autonomy, speed without sacrificing quality, and setting a high bar for the team are expected.

Requirements

• 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.

Nice To Haves

• Solid understanding of the cryptocurrency space and how financial markets function.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior