Product Analytics Chapter Lead
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 20d ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source 1h ago.
We have tracked this listing since 27 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Cyprus, United Kingdom, Poland, Estonia, Spain, Germany
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $55k–75k/yr
Middle 50% of 85 listings that do state pay — Product · Lead · Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 5d ago · last seen 1h ago
The listing
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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Product analytics done end to end, with decisions that changed the roadmap behind it.
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Fluent in SQL, confident in Python, and solid on experimentation and causal methods/
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You have chosen or built tooling for tests and metrics before.
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You use AI tools in your daily work, not occasionally.
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A partner to stakeholders rather than a person who executes tickets.
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Proactive, you bring the problems and the hypotheses yourself.
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You take an ambiguous problem, structure it, and explain your reasoning to product and business people.
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English at C1 or above
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Product analytics built from scratch
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Experience where conversion volumes are low: B2B, long sales cycles, small samples.
What you bring
Nice to have