Data Analyst, Product
New
K
KrakenFintech, Crypto
US, Canada, UK, Germany, Spain, Cyprus or PortugalFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLAirflowA/B testingdbt
Requirements
- 7+ years of data analysis experience with deep knowledge of product KPIs, full funnel performance.
- Ability to connect marketing and product insights to drive business growth.
- Strong product instinct to turn data into decisions and connect user behavior with business impact.
- Mastery of SQL, including complex joins, CTEs, and analytical functions.
- Strong hands-on Python proficiency.
- Familiarity with dbt is welcomed.
- 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.
- Ability to translate experimentation 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 the values outlined in Kraken's Tentaclements document.
- 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.
Responsibilities
- Turn complex product data into clear, actionable insights to improve user experience, support new features, and deepen engagement.
- Help leadership make high-impact product decisions.
- Own end-to-end data management, including building and maintaining datasets and pipelines.
- Design dashboards and insights for the Product and leadership teams.
- Drive experimentation infrastructure and automate reporting workflows to boost efficiency and accelerate decision-making.
- Own the design of dashboards, product metrics, and performance reports.
- Automate product data solutions, reporting workflows, and pipelines.
- Dive into large, complex datasets to turn findings into scalable data 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.
- Lead the design and launch of A/B testing frameworks, test hypotheses, and translate 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.
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