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Readymag

Senior Product Analyst

Posted 18 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Lead end-to-end product analytics: instrumentation, data quality, funnels, retention, and experimentation. Use SQL and Python for analysis, build dashboards, partner with product and growth, and improve analytics infrastructure (Amplitude and data warehouse migration). Remote with GMT+1 overlap.
The summary above was generated by AI

Product analyst

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 will 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.
How to apply
Please use our application form to submit your CV and other necessary details. The form includes mandatory fields, and providing the requested information will be enough for us to review your application. In the "address" field, just indicating your country will be sufficient. If your experience matches our requirements, we'll reach out to schedule the next steps. 

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