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Salary
≈ $80k – $165k per year (Estimated)
Location
Remote (likely Europe, UTC+1 hours)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Sep 4, 2026.

Overview
Company
Impact
Profile match
We believe personal dreams can become professional websites.

We're looking for a senior product analyst to join our growing analytics team. You'll own product analytics end-to-end-from instrumentation and data quality to experimentation, funnels, and retention-and be a genuine strategic partner to product and growth teams. You'll work closely with another analyst and data engineers, bring structure to how we measure product decisions, and actively help build a strong data culture across the company.

You'll be expected to form hypotheses, challenge assumptions, and define what success looks like for the things we ship.

This is a fully remote collaboration under a service agreement. We work primarily within the GMT+1 time zone and expect a regular overlap of business hours on weekdays to allow for meetings and live collaboration.

Who we are

  • Readymag is a design tool for creating websites, landing pages, portfolios, magazines, editorials, and presentations.

  • We're a fully distributed team with a strong international user community and client-oriented service. We value a culture of questions and curiosity with a 'measure what can be measured' approach.

What you'll do

  • Own product analytics infrastructure in Amplitude and BigQuery: maintain data consistency, quality, and coverage, and use it yourself as a primary tool for discovery, not just as a reporting layer;

  • Think in funnels, retention, cohorts, and activation. Spot anomalies in onboarding and in-product behavior, form hypotheses, and drive investigations through to clear conclusions;

  • Design and run A/B tests end-to-end: framing the question, calculating sample sizes, monitoring, and interpreting results with statistical rigor;

  • Write SQL in BigQuery to explore data, validate quality, and answer complex ad-hoc questions;

  • Build dashboards and reports, and actively use them in your own work to surface findings, generate hypotheses, and share insights with the team proactively;

  • Translate findings into clear, actionable conclusions for product and growth teams;

  • Work closely with a second analyst, developers, and data engineers to keep tracking consistent across the funnel, and define instrumentation requirements when gaps appear;

  • Help shape the analytics infrastructure as we migrate from Amplitude toward a full data warehouse setup.

What we expect

  • 5+ years of relevant experience, with a track record of influencing product decisions;

  • Strong SQL: comfortable with complex queries, joins, aggregations, and window functions;

  • Python: comfortable writing scripts for data processing, visualization, and statistical analysis for A/B tests and research;

  • Experience with product analytics tools, such as Amplitude, Tableau, Looker, or similar;

  • Solid understanding of the full user funnel for the web products: acquisition, activation, retention, as well as in-product behavior;

  • Basic data engineering literacy: how tracking is set up, where data comes from, and how to manage uncovered zones;

  • Ability to define and articulate requirements for developers or data engineers when enhancements to tracking or additional data acquisition are needed;

  • English at a B2+ level.

Would be a plus

  • Experience with BigQuery;

  • You've built or significantly improved an analytics setup from scratch;

  • Statistics background or hands-on experimentation experience;

  • Experience building custom dashboards and conducting research from scratch.

What happens next

  • Remote work with a flexible schedule;

  • 28 weekdays of paid annual leave;

  • Access to a corporate laptop;

  • Compensation for coworking space fees;

  • Language courses;

  • Compensation for sports or other physical activities;

  • A learning budget to invest in courses, books, or conferences;

  • The freedom to think beyond established patterns

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