Data Lead

Job Description This is a remote position. We are building a unified financial platform that combines trading, investing, crypto, and everyday spending into a single account. One portfolio, one identity, one system. We are early. Our partner already operates one of the largest professional trading platforms globally and brings real data scale and infrastructure with it. The data layer needed to run a multi-product consumer super app is a different shape, and most of it still needs to be designed, built, and connected to how the company actually makes decisions. This role exists to lead that work. You are the founding data hire. You shape what we measure, how we measure it, and how the entire org makes decisions on data instead of opinions. We are not hiring an analyst to build dashboards on demand. We are hiring the person who designs the decision system that runs the company. You sit between five products that move money at different speeds: real-time card spend, T+2 equities, leveraged CFD execution, on-chain crypto settlement, and stablecoin transfers. Every pillar generates data with different shapes and constraints. Your job is to make all of it queryable, trustworthy, and useful, fast. You define the metric system every team operates on You turn raw events into behavioral insight the product team can act on You decide what gets measured, how, and what we ignore You report directly to the Product Director. Your work shapes prioritization, not just reporting. Requirements Required 5+ years in data analytics, ideally with hands-on experience in fintech, trading, or consumer financial products Expert SQL. You write clean transformations, not just ad-hoc queries Strong Python for analysis, automation, and workflow compression Hands-on experience with modern BI tools (Looker, Mode, Omni, Tableau, or equivalent) Solid grasp of dimensional modelling and how schemas survive product evolution AI fluency. You use LLMs and automation daily to multiply your output Track record of translating ambiguous business questions into clean analytical answers, and pushing back when the question itself is wrong Comfort operating without a data manager, a defined roadmap, or a finished spec Benefits Competitive salary commensurate with experience Market standard EOSB and performance bonuses Comprehensive health insurance Professional development and conference budgets Team building events, career mentorship, and strong company culture Remote work flexibility