# Data Analyst, Product

**Company:** [Kraken](https://hotfix.jobs/companies/kraken)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $96k – $192k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, dbt, Airflow, A/B Testing, Causal Inference, Data Pipelines, Dashboards, metrics frameworks, LLMs, Generative AI, analytics engineering
**Posted:** 2026-07-30

> Full-stack data analyst on the Pro product team at Kraken. Own end-to-end data infrastructure, north star metrics, dashboards, A/B testing and causal inference to deliver actionable insights that drive product decisions, user engagement and business outcomes in crypto trading.

## Job Description

## Responsibilities
- Operate as a full-stack data analyst within the Pro team, owning your domain completely while collaborating closely with colleagues across the pod.
- 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, applying causal inference techniques and turning results into clear, confident recommendations that influence product strategy.
- 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, including LLM-augmented pipelines and GenAI-assisted analytics workflows.
- Deliver insights through clear, data-driven storytelling to technical and non-technical audiences, including senior leadership.

## Requirements
- 7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, financial market or crypto where data quality and scale are non-negotiable.
- Hands-on experience with advanced trading products and solutions in equities, crypto, or other assets. Professional background working within financial markets or on a trading desk, or professional trader.
- 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 and translate results into clear growth recommendations.
- 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.

## Nice-to-Haves
- Experience with LLM-augmented analytics pipelines or AI-assisted workflows in a production environment.

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