Senior Growth Analyst - Calendars

22 hours, 37 minutes ago
Full-time
Senior
Data Science and Analytics
Readdle

Readdle

Readdle is a top iOS developer offering essential productivity apps like Scanner Pro, PDF Expert, Calendars, and more. With over 225 million downloads globally, Readdle simplifies workflows and boosts productivity on Apple devices.

Internet Software & Services
51-250
Founded 2007

Description

  • Analyze large datasets in BigQuery and Amplitude to identify product and growth opportunities, trends, anomalies, and actionable insights.
  • Build and maintain self-serve reports and dashboards that establish a source of truth for growth metrics.
  • Define, document, and QA event structures for features, campaigns, and experiments.
  • Develop monetization measurement systems to support pricing and migration decisions.
  • Analyze user funnels across advertising, app stores, onboarding, in-app usage, purchases, and cancellations.
  • Design, sequence, monitor, and evaluate A/B experiments and feature launches with statistical rigor.
  • Present insights, hypotheses, and growth opportunities to product and marketing teams and influence roadmap prioritization.
  • Build forecasting and scenario models for installs, conversions, retention, and revenue.
  • Ensure data integrity across analytics tools and pipelines and collaborate with attribution vendors to improve acquisition reporting.

Requirements

  • 4+ years of experience in growth, product, or marketing analytics within a B2C or SaaS environment.
  • Experience with user acquisition, pricing, monetization, or migration initiatives for subscription products.
  • Strong SQL skills and experience with BigQuery or similar warehouses such as Redshift or Snowflake.
  • Proficiency with reporting and visualization tools such as Tableau or Looker and product analytics platforms such as Amplitude, Mixpanel, Heap, Hotjar, or PostHog.
  • Experience with marketing attribution platforms such as AppsFlyer, Adjust, or Kochava.
  • Familiarity with Python or R for data analysis and automation; experience with machine learning or time-series inference is preferred.
  • Knowledge of funnels, cohorts, retention, event tracking, attribution, media mix modeling, incrementality testing, experimentation, statistics, churn, and LTV modeling.
  • Advanced analytics experience in areas such as causal inference, quasi-experiments, linear programming, or econometrics is highly advantageous.
  • Ability to build self-serve dashboards and act as a strategic partner to product and marketing teams.
  • Strong business acumen and ability to collaborate proactively with product, marketing, and engineering teams.

Benefits

  • Opportunities to engage directly with customers and shape products used by millions worldwide.
  • A culture focused on ownership, continuous learning, feedback, and professional growth.
  • Collaborative and transparent team environment with collective recognition of success.
  • Opportunity to make meaningful impact through products that simplify complexity and deliver user value.
  • Innovation-focused culture that encourages and supports new ideas.

Interested in this position?

Apply directly on the company website

Apply Now

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