About
Data Analyst, Product
role at
Kraken
Kraken is building the future of crypto, building world‑class products for experienced traders, institutions, and newcomers. Our data team provides insight for decision making and product growth.
What Makes Us Different Kraken is a mission‑focused company rooted in crypto values. We accelerate global adoption of crypto to achieve financial freedom and inclusion. We have a fully remote team in 70+ countries and are committed to industry‑leading security and education.
Responsibilities
Act as a trusted business advisor who influences decision‑making for the growth team and fully understands the business.
Own the design of dashboards, metrics, and reports, turning data into actionable insights for cross‑functional partners.
Dive into large, complex datasets/logs to build scalable data models for reporting, analytics and ML.
Lead cross‑functional projects with analysts, scientists, engineers and product teams to build data pipelines using Airflow, Python and modern ETL frameworks.
Develop and automate reporting of key performance indicators at scale.
Develop high‑quality code for pipelines and dashboards with software engineering best practices.
Deliver insights that shape growth direction through clear, data‑driven storytelling.
Qualifications
3+ years of experience in data analysis and data management within the financial services industry.
Hands‑on experience using dbt to model and organize data for reporting and decision‑making.
Proficiency in SQL and Python libraries such as pandas, matplotlib, and plotly.
Experience setting up and managing data pipelines and data workflow orchestration.
Capable of creating intuitive dashboards and visualizations to communicate complex insights.
Strong communicator who simplifies complex data ideas for technical and non‑technical audiences.
Passion for investing or day trading, with professional or personal exposure to trading products.
Belief in Kraken’s values outlined in the Tentaclements document.
A degree emphasizing analytical rigor, such as software engineering, economics, or a hard science.
Nice to Haves
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.
As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. We consider qualified applicants with criminal histories for employment in a manner consistent with the San Francisco Fair Chance Ordinance.
Candidate privacy notice and other legal statements are provided on our website.
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Languages
- English
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