Data Analyst, Product

Location

Spain;
Brazil;
Canada;
Cyprus;
Germany;
Ireland;
Poland;
Portugal;
United Kingdom

Full time

Remote

Engineering Data Analytics

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 global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

Please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry‑leading security, crypto education, and world‑class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

Become a Krakenite and build the future of crypto!

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. You will also drive experimentation infrastructure and automate reporting workflows to boost efficiency and accelerate decision‑making.

You will be, quite literally and quantitatively, defining success on a daily basis for our 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. Fintech or crypto background is a plus.

• Product instinct comes first. You know how to turn data into decisions and…