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Data Analyst, Product
Kraken Digital Asset ExchangeData Analyst transforming complex data into insights for Kraken's Pro product team. Leading experiments and driving data initiatives for high-impact product decisions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and engineering, with a strong focus on building scalable data infrastructure and delivering actionable insights through effective storytelling. Proficient in A/B testing frameworks and causal inference techniques, with a solid foundation in SQL and Python for data pipeline development.
Highest-signal resume keywords
7+ Years Experience In Data AnalyticsAdvanced SQL ProficiencyPython For Pipeline DevelopmentA/B Testing FrameworksExperience In Fintech Or Crypto
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data AnalyticsAnalytics EngineeringProduction Data PipelinesCausal Inference TechniquesComplex JoinsCTEsAnalytical FunctionsData StorytellingScalable dbt ModelsFull-Funnel Reporting
Soft Skills
Strong CommunicationCross-Functional Leadership
Tools & Technologies
DbtAirflowAI Tooling
Certifications & Qualifications
Degree In Analytical Field
Industry Keywords
FintechPaymentsFinancial MarketCryptoEquities
Tech Stack
Tools & technologiesAirflowPythonSQL
About the role
Key responsibilities & impact- Operate as a full-stack data analyst within the Pro team
- Own the design and evolution of dashboards, north star metrics and analytical frameworks that drive decisions at the highest level of the business
- Build and maintain data infrastructure at scale, from scalable dbt models and production pipelines to full-funnel reporting that powers cross-functional teams
- Lead experimentation across the Product domain by designing and owning A/B testing frameworks and applying causal inference techniques
- Influence technical direction across the data team, contributing to how we build, what we prioritise and how we raise the bar on data quality and engineering standards
- Embed AI tooling into your workflow in ways that have tangible business impact
- Deliver insights through clear, data-driven storytelling to technical and non-technical audiences, including senior leadership
Requirements
What you’ll need- 7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, financial market or crypto
- Hands-on experience with advanced trading products and solutions in equities, crypto, or other assets
- Hands-on experience building and owning production data pipelines, with strong familiarity with dbt and Airflow or equivalent orchestration tools
- Full mastery of SQL including complex joins, CTEs and analytical functions, alongside strong Python proficiency for pipeline development and analysis
- Hands-on experience designing and running A/B tests and experimentation frameworks, with the ability to apply causal inference techniques
- Demonstrated experience leading cross-functional data initiatives from design to delivery, with measurable business outcomes
- Strong communicator who can simplify complex data ideas for both technical and non-technical audiences
- A degree in a field emphasising analytical rigour such as software engineering, economics or a hard science.
- Based in Canada, the US, the UK or the EU and fluent in English.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities