4 дня назад
Senior Growth Analyst (Calendars)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Growth Analyst (Calendars) (B2C/SaaS analytics): Analyzing user journeys and growth performance for a subscription-based calendar product with an accent on funnels, monetization measurement, experimentation, and attribution. Focus on building self-serve dashboards, forecasting installs and revenue, validating product and marketing initiatives, and modeling retention, churn, and LTV.
Location: Warsaw, Berlin, Kyiv, Odesa, or Europe Remote
Company
develops personal productivity products for Apple devices, including mobile and desktop experiences.
What you will do
- Transform and 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 as a source of truth for growth metrics.
- Define, document, and QA event structures for features, campaigns, and experiments, including monetization measurement for pricing and migration decisions.
- Analyze funnels across advertising, app stores, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and opportunities.
- Design and monitor A/B experiments and feature launches, validate results, and track long-term impact with statistical rigor.
- Build forecasts and scenario models for installs, conversions, retention, and revenue, while partnering with product, marketing, engineering, and measurement vendors.
Requirements
- 4+ years of experience in growth, product, or marketing analytics in a B2C or SaaS environment.
- Experience with user acquisition, pricing, monetization, migration, and subscription-based products.
- Strong SQL skills and experience with BigQuery or comparable cloud data warehouses such as Redshift or Snowflake.
- Experience with Tableau, Looker, or similar reporting tools; Amplitude, Mixpanel, Heap, Hotjar, or PostHog for event and user-journey tracking.
- Knowledge of marketing attribution platforms such as AppsFlyer, Adjust, or Kochava, plus familiarity with Python or R for analysis and automation.
- Strong understanding of funnels, cohorts, retention, experimentation, statistics, segmentation, churn, LTV, attribution, and advanced analytics methods.
Nice to have
- Experience with machine learning or time-series inference.
- Advanced analytics experience in causal inference, quasi-experiments, linear programming, or econometrics.
Culture & Benefits
- Customer-centric culture with direct engagement with users and a focus on meaningful product experiences.
- Ownership, continuous learning, feedback, and a focus on professional mastery.
- Transparent collaboration and collective responsibility across an exceptional team.
- Opportunity to create measurable impact by simplifying complexity and improving products.
- Culture of innovation that encourages and implements fresh ideas.
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