Job description
The opportunity
Act as a trusted business advisor to the Growth team, understanding the business deeply enough to know which questions are worth asking, not just how to answer them.
Own the design of dashboards, metrics and north star frameworks from the ground up, turning data into decisions for cross-functional partners and leadership.
Dive into large, complex datasets to build scalable data models that power full-funnel reporting, analytics and ML.
Lead cross-functional initiatives with analysts, engineers and product teams to build and maintain high-quality data pipelines using Airflow, Python and modern ETL frameworks.
Drive experimentation infrastructure by designing A/B testing frameworks, testing hypotheses and translating results into clear growth recommendations.
Develop production-grade code for pipelines and dashboards, applying software engineering best practices throughout.
Deliver insights that shape growth strategy through clear, data-driven storytelling to technical and non-technical audiences alike.
What You Bring
7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, crypto or a high-scale marketplace where data quality and scale are non-negotiable.
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 you can point to.
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.