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Salary
≈ $75k – $160k per year (Estimated)
Location
Remote (United Kingdom, Cyprus, Poland, Spain, Estonia)also open in Germany, Netherlands
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Jun 23, 2026. Finom scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Finom is an Amsterdam-based fintech company that offers entrepreneurs, freelancers and small and medium-sized businesses an all-in-one financial platform combining business accounts, cards, payments, invoicing and AI-enabled accounting. Founded in 2019 and operated through PNL Fintech and Finom Payments, it serves customers in Germany, France, the Netherlands, Italy and Spain and has raised about 346 million US dollars, including a 115 million euro Series C and growth funding from General Catalyst. It hires remote software, AI and data engineers, product managers and designers, multilingual customer care and account managers, and finance and risk staff.

About the Role

Product decisions at Finom are made fast, and we want them made on evidence. You join the Growth & Activation product stream as its analyst, working with PMs and engineers on how new customers discover the product, start using it, and grow with it.

There is no established way of doing product analytics here yet, so you define it: how experiments are designed, how metrics are named and counted, what a readout looks like. You come with your own approach rather than waiting for one to be handed to you.

What you'll do

Work with the product managers and other stakeholders in the stream. Agree priorities with them, and look for the problems worth solving instead of waiting for a request to arrive.

Bring recommendations to the business, including opportunities it does not see on its own.

Define the metrics for the stream: what activation means, what we expect from the funnel, how each number is counted, and how it stays consistent with the way the rest of the company counts the same things.

Design the tests. Hypothesis, primary metric, audience split, duration, and how the result gets read once it lands.

Automate that work, so running a test is routine and not a small project every time.

Build the infrastructure for testing at scale, with external tools or our own, so a testing culture can spread across the product teams.

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