What you’ll do Partner with Product, Engineering, Design, and Operations to inform and shape product strategy, prioritization, and decision‑making Develop metrics, data models, and analytical frameworks that improve how teams understand customer behaviour and business performance Identify opportunities to improve customer experience, growth, retention, and operational efficiency through data Translate complex business questions into clear recommendations and actionable insights Proactively surface trends, risks, and opportunities that help the team focus on the highest‑impact work Collaborate with Analytics Engineering to improve the quality, scalability, and usability of data foundations for the team What you bring 5+ years experience working in data science, product analytics, experimentation, or a related field Strong analytical and problem‑solving skills using SQL and Python Ability to influence product or business decisions through data and clear communication Strong product thinking and the ability to connect customer behaviour to business outcomes Comfort working cross‑functionally and building strong relationships across disciplines Familiarity with experimentation and causal inference methods Exposure to DBT or modern data modelling tooling Knowledge of fintech, investing, or crypto products Experience using AI tools to improve analysis, communication, or decision‑making workflows Who you are You’re curious and proactive, and you look beyond the immediate ask to iden