• Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions
• Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow
• Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations
• Own the metrics framework for product — what we measure, how we measure it, and what “good” looks like across each surface
• Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product
• Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis
• Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view