Data Analyst, Product
Tech Stack / Keywords
Firma i stanowisko
Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto for financial freedom and inclusion. It is a fully remote company with employees in over 70 countries, developing premium crypto products for traders, institutions, and newcomers. The data team is central to decision-making, treating data as a strategic asset and foundation of trust with users, partners, and stakeholders.
Wymagania
- 7+ years of data analysis experience with deep knowledge of product KPIs, full funnel performance, and ability to connect marketing and product insights to drive business growth
- Product instinct with ability to turn data into decisions and connect user behaviour to business impact
- Full mastery of SQL including complex joins, CTEs, and analytical functions
- Strong hands-on Python proficiency
- Familiarity with dbt is welcomed but not required
- Experience setting up and managing data pipelines with strong understanding of data workflow orchestration
- Hands-on experience designing and running A/B tests and experimentation frameworks with ability to translate results into growth recommendations
- Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly
- Strong communicator able to simplify complex data ideas for technical and non-technical audiences
- Alignment with Kraken's Tentaclements values
- Degree in analytics, software engineering, economics, or related analytical field
- Based in US, Canada, UK, Germany, Spain, Cyprus, or Portugal with flexibility on working hours to support a globally distributed team
Nice to have:
- Deep interest in improving user experiences through product analytics and experimentation
- Passion for continuous learning and beginner's mindset
- Solid understanding of cryptocurrency space and financial markets
Obowiązki
- 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 minimise 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
Inne informacje
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. Kraken considers qualified applicants with criminal histories consistent with the San Francisco Fair Chance Ordinance. Kraken is an equal opportunity employer and does not tolerate discrimination or harassment based on protected characteristics as outlined by federal, state, or local laws.
Kraken
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