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Salary
≈ $22k – $49k per year (Estimated)
Location
Remote (Ukraine)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Stape is server-side tagging. We provide server GTM hosting, power-ups, and APIs to improve data quality, extend cookie lifetime, and manage consent with ease.

📍 Location: EU-based, remote
💼 Cooperation type: Full-time

We're seeking a Product Analyst to become our first dedicated product analyst: you'll work closely with product managers and developers to measure every meaningful product change, build an A/B testing culture from the ground up, and turn years of accumulated product data into insights that drive retention and revenue.

Key tasks:
Work with product data and datasets to uncover insights that improve user retention and feature adoption.
Define new product metrics together with the product team and link them to business impact.
Create tracking plans and technical tasks for developers to implement events, and verify the implementation before release.
Join key product team meetings to plan analytics alongside feature development, so measurement starts on release day.
Design, run, and analyze A/B tests in the product and on the promo site, including hypothesis discussions and sample size calculations.
Research user behavior and SaaS metrics (MRR, NDR, retention) to find opportunities for revenue growth and plan upgrades.
Present findings to stakeholders and drive data-backed decisions.

Your background:
5+ years of experience in analytics, including at least 3 years as a Product Analyst in an in-house product company.
Strong SQL and Python skills.
Experience building reports in a BI tool (Hex, Looker, Tableau, Power BI, or similar).
Solid knowledge of SaaS metrics (MRR, NDR, retention).
Hands-on experience with A/B testing, from hypothesis to analysis.
High attention to detail and accuracy when working with large volumes of data.
Proactive mindset: you spot trends and risks early and bring them to the team.
Ability to present insights clearly and defend data-backed positions with stakeholders.
Reliability with estimates and deadlines.

Will be a plus:
Experience with Amplitude.
Experience with Jupyter / Python notebooks.
Experience in a SaaS company, including pricing and subscriptions.

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