Senior Growth Analyst

Readdle is a pioneering force in the personal productivity space on Apple devices since 2007. The company focuses on empowering individuals and teams with innovative technology to enhance efficiency and creativity, crafting mobile and desktop experiences.

• 5+ years in growth, product, or marketing analytics in B2C or SaaS environments, with experience in user acquisition, pricing, monetization, and migration for subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses; proficiency with reporting and product analytics tools such as Tableau or Looker, and analytics platforms like Amplitude, Mixpanel, or PostHog.
• Experience with marketing attribution platforms such as Appsflyer, Adjust, or Kochava; familiarity with Python or R for data analysis and automation.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (attribution, MMM, incrementality testing), statistics, and experimentation.
• Demonstrated advanced analytics experience including causal inference, quasi-experiments, linear programming, or econometrics.
• Proven ability to design self-serve dashboards and act as strategic thought partner to product and marketing teams.
• Strong business acumen and ability to work cross-functionally with product, marketing, and engineering in a proactive and collaborative manner.

• Transform and analyze large datasets in BigQuery and Amplitude to discover product and growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results ensuring statistical rigor and consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; influence quarterly prioritization and roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to track attribution and optimize acquisition reporting.

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