Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.
Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you'll join us on our mission to accelerate the general adoption of crypto, so that everyone can achieve financial freedom and inclusion. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. industry-leading security
,
crypto education
, At Kraken, data is both a strategic asset and the foundation of trust with our users, partners, and stakeholders and the data team is the backbone of decision-making.
We're looking for a Data Analyst, Product to join our team remotely. The #1 goal of this role is to turn complex product data into clear, actionable insights that improve user experience, support the development of new features, deepen engagement, and help leadership make high-impact product decisions. You'll work at the intersection of data engineering, product analytics, and experimentation in a fast-paced, high-growth environment where speed, accuracy, and business impact are non-negotiable.
Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of product funnels and user behaviour metrics. You'll own end-to-end data management — from building and maintaining datasets and pipelines to designing dashboards and insights for the Product and leadership teams. Join us and be part of a team where data is not just an asset but our language, our tool, and our future.
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
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.



You know how to turn data into decisions and connect the dots between user behaviour and business impact. SQL is at the core of everything you do in this role and we expect full mastery of it, including complex joins, CTEs, and analytical functions. Strong hands-on Python proficiency is equally important
Familiarity with dbt is welcomed and will set you apart, though it is not a strict requirement
Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration
Hands-on experience designing and running A/B tests and experimentation frameworks with the ability to translate results into clear growth recommendations
Strong communicator who can simplify complex data ideas for both technical and non-technical audiences
A degree in a field emphasizing analytical rigor such as analytics, software engineering, or economics
Deep interest in improving user experiences through better product analytics and experimentation
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.
Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
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📌 DATA ANALYST (TELETRABAJO) (Málaga)
🏢 Kraken
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