Product Analytics Chapter Lead
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Posting date unknown
- Work arrangement
- remote
- Employment
- Full Time
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Likely eligible to apply remotely
Checked for applicants in Spain; employer sponsorship is not needed. Based on the source posting · not a hiring or work-authorization guarantee.
The stated geographic scope includes your country.
Why this result?
2 supporting signals
- The stated geographic scope includes your country.
- The role is described as remote; geographic restrictions still apply.
1 still unclear
- Visa sponsorship is not specified.
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Geographic scope
- CY, GB, PL, EE, ES, DE
“Provider location: Cyprus • Provider location: United Kingdom • Provider location: Poland • Provider location: Estonia • Provider location: Spain • Provider location: Germany”
From employer posting metadata - Employment type
- Full Time
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
- Compensation
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
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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.
What you bring
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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.
Nice to have
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