3 дня назад
Product Analytics Lead (iGaming)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Analytics Lead (iGaming): Building analytics frameworks for behavioral analysis, product metrics, feature launches, and A/B tests with an accent on advanced SQL, statistical evaluation, and user insights. Focus on setting experimentation standards, translating complex findings into product decisions, and mentoring product analysts.
Location: Europe; fully remote
Company
Global crypto sportsbook and casino company operating across 15+ countries with a focus on digital sports and gaming experiences, fast transactions, high limits, and premium user experience.
What you will do
- Own behavioral analytics, user funnels, cohort analysis, retention, LTV, and product insights.
- Design, run, and evaluate A/B tests and feature rollouts.
- Establish company-wide standards for evaluating new features and experiments.
- Partner with Product, Data Science, Analytics, and Engineering teams to turn statistical findings into business recommendations.
- Mentor Junior and Mid-level Product Analysts and strengthen data-driven decision-making.
Requirements
- Advanced SQL skills, including complex queries, optimization, and data modeling.
- Strong foundation in hypothesis testing, confidence intervals, sample size, and statistical significance.
- Hands-on experience with A/B testing and real product launches.
- Deep knowledge of funnels, retention, cohorts, LTV, and behavioral analytics.
- Experience with Tableau, Looker, or similar BI tools, plus Python for exploratory analysis.
Nice to have
- 2+ years of experience in a Product Analytics Lead role.
- Background in iGaming or high-growth products.
- Experience growing and developing analysts.
Culture & Benefits
- High autonomy over the analytics agenda and strategic priorities.
- Balance between strategic leadership and hands-on analytics.
- Large-scale user datasets and a fast-paced product environment.
- Vacation and sick leave allowance.
- Flexible benefits budget, training budget, team-building activities, and family-focused programs.
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