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Strikerz.Inc ищет руководителя аналитики продукта в игровой индустрии. Вы будете возглавлять команду, формировать стратегию аналитики, управлять метриками удержания, монетизации, LTV и экономикой игры, а также курировать A/B тестирование и внедрять улучшения.
Требуется сильный бэкграунд SQL и Python, опыт с DWH и BI-инструментами, умение превращать данные в конкретные действия и эффективно общаться с командами продукта и разработки.
The team develops a gaming project for consoles, PC, and mobile. Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ
Monitor core metrics, including retention, monetization, LTV, funnels, and game economy, and identify trends and anomalies early. Turn insights into hypotheses and recommendations for the team. Partner with producers and product leads to prioritize features, propose experiments, estimate their potential, and evaluate their impact. Lead and grow the data team by setting direction and priorities, mentoring the team, and building on its strengths in product discovery. Own the data function end to end, including analytics infrastructure, tracking, data quality, and the A/B testing framework. Make data accessible across the company so teams can get answers quickly.
5+ Years in product analytics or data, including 2+ years leading a team. Experience in gaming or large-scale B2C products with free-to-play or freemium monetization. Strong product intuition and understanding of core loops, meta, economy, and LiveOps. Strong SQL and Python skills, plus hands-on experience with DWH and BI tools. Solid grounding in statistics and experiment design, with the ability to interpret results rigorously. Ownership, initiative, and the ability to shape questions as well as answer them. Ability to explain complex topics simply and guide insights through to decisions. Strong usage of modern AI instruments.
Будет плюсом: experience with sports or competitive games, experience growing a data team's role in product strategy and discovery, experience with ML for LTV prediction, churn modeling or personalization, playing games and understanding what keeps players engaged.