As our Senior Analytics Engineer for Operations, you'll own that data end to end, the model behind it, the metrics it produces, and the trust the business places in both.
This role isn't just "build the metric, ship the dashboard." We want someone who looks past the number to the process behind it, where it's manual, where it's fragile, where the right tool removes the work instead of just reporting on it. You'll have a direct line to influencing how those processes and the surrounding product actually work, not just how they're measured.
You'll sit embedded inside Operations, partnering with the TRI (Trust & Risk Intelligence) domain wherever the two overlap, while working inside the Data & Analytics team's AE guild — so you'll have the tools and the context to actually contribute, not just execute.
What You Will Be Doing
Own the Operations data model — reconciliation, treasury, payments, lifecycle, and onboarding — turning raw operational events into documented, trustworthy data products on the DWH
Partner directly with Operations stakeholders on day-to-day questions,



ad hoc requests, and recurring reporting, acting as their primary data point of contact — while pushing routine, repeatable questions toward self-service instead of answering the same thing by hand every time
Look past the metric to the process behind it — understand how everything actually works end to end, spot where manual effort or fragile handoffs are the real problem, and identify which tools (not just which query) would solve it
Define and maintain key metrics for reconciliation accuracy, treasury positions, payment success/failure rates, and onboarding conversion, working within the team's central metric architecture
Participate in data quality and governance practices for the domain
Bring process and product ideas to the table directly — you're close enough to the operational reality to see what should change, and this role expects you to say so and help make it happen, not just report the n

📌 Senior Analytics Engineer (España)
🏢 Finom
📍 España