Senior Product Analyst

Job not on LinkedIn

🕒 May 11

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Logo of Readymag

Readymag

11 - 50 employees

Founded 2013

☁️ SaaS

📱 Media

💰 $500k Seed Round - Readymag on 2015-03

SaaS • Media

Readymag is a web-based visual design and publishing platform that lets users create interactive websites, landing pages, magazines, presentations, portfolios, and lightweight e-commerce pages without coding. It provides templates, layout and typography controls, analytics and integrations (payments, video, forms, embeds) and cookie/consent handling to support public and password-protected projects. Readymag operates as a subscription software service targeted at designers, publishers, creatives and teams seeking a no-code tool for online storytelling and digital publications.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible work arrangements

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