Data Analyst, Product

Location

United States

Full time

Remote

Engineering, Data Analytics

• $96K – $192K
  • Offers Equity
  • Offers Bonus

This range is not inclusive of other additional compensation elements, such as our Bonus program, Equity program, Wellness allowance, and other benefits (US Only).

• Own the design of dashboards, product metrics, and performance reports, turning data into actionable insights for stakeholders, cross‑functional partners, and product teams.
• Automate product data solutions, reporting workflows, and pipelines to boost efficiency and minimize manual intervention.
• Dive into large, complex datasets to turn findings into scalable data models that facilitate full‑funnel reporting, analytics, and ML models.
• Translate product and business requests into accurate reports and automated data pipelines using Python, SQL, dbt, and Airflow.
• Lead cross‑functional projects with analysts, engineers, and product teams to build and maintain high‑quality data pipelines and sources.
• Drive experimentation infrastructure by leading the design and launch of A/B testing frameworks, testing hypotheses, and translating results into clear product recommendations.
• Support ad‑hoc data requests for feature performance, user onboarding, product reviews, and day‑to‑day business needs.
• Deliver insights that shape product direction through clear, data‑driven storytelling.

• 7+ years of data analysis experience with deep knowledge of product KPIs, full‑funnel performance, and the ability to connect marketing and product insights to drive business growth. Fintech or crypto background is a plus.
• Product instinct: ability to turn data into decisions and connect the dots between user behaviour and business impact.
• SQL mastery, including complex joins, CTEs, and analytical functions. Strong hands‑on Python proficiency is equally important.
• Familiarity with dbt is a welcomed advantage, though not a strict requirement.
• Experience setting up and managing data pipelines with a strong understanding of workflow orchestration.
• Hands‑on experience designing and running A/B tests and experimentation frameworks with the ability to translate results into clear growth recommendations.
• Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly.
• Strong communicator who can simplify complex data ideas for both technical and non‑technical audiences.
• Aligned with Kraken’s core values.
• A degree in a field emphasizing analytical rigor such as analytics, software engineering, or economics.
• Based in the US, Canada, UK, Germany, Spain, Cyprus or Portugal with flexibility on working hours to support a globally distributed team.

• Deep interest in improving user experiences through better product analytics and experimentation.
• Passion for continuous learning and a beginner’s mindset.
• Solid understanding of the cryptocurrency space and how financial markets function.

Kraken is an equal opportunity employer. We consider qualified applicants with criminal histories for employment in a manner consistent with the San Francisco Fair Chance Ordinance.