3 дня назад
Data Analyst (iGaming)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (iGaming): Defining KPIs and analytical frameworks for an iGaming CRM platform with an accent on player engagement, retention, and lifetime value. Focus on building scalable insight frameworks, designing A/B tests, and translating raw behavioural data into actionable growth strategies for operators.
Location: Hybrid (London)
Company
is a leading B2B SaaS provider delivering iGaming software, content, and services to 300 customers worldwide.
What you will do
- Define KPIs, metrics, and analytical frameworks that underpin the CRM platform’s reporting and intelligence capabilities.
- Collaborate with Product and Engineering to optimize data capture, structure, and visibility for end users.
- Build and maintain dashboards, reports, and self-serve analytical tools for operators.
- Analyze campaign performance across the full lifecycle, including targeting, engagement, conversion, and retention.
- Develop scalable insight frameworks, segmentation logic, and predictive indicators for churn and player value.
- Act as the analytical authority in cross-functional discussions and present findings to technical and non-technical stakeholders.
Requirements
- 5+ years of experience in a Data Analyst or similar role.
- Hands-on iGaming CRM experience is essential (experience within an iGaming operator or platform).
- Deep understanding of CRM operations, campaign logic, lifecycle marketing, and retention mechanics.
- Strong SQL proficiency for building complex queries, data models, and analytical datasets.
- Experience with BI tools such as Looker, Tableau, Metabase, or similar.
- Proven ability to work with large-scale behavioural or transactional datasets.
Nice to have
- Familiarity with A/B testing methodologies and experiment design.
- Exposure to predictive modelling or applied ML use cases (churn, LTV, propensity).
- Experience with event-driven or streaming data environments.
- Proficiency in Python or R for analytical scripting and automation.
Culture & Benefits
- Annual leave starting at 25 days, increasing up to 35 days by the fifth year.
- Hybrid work schedule available after three months, with up to 50 WFH days per year.
- Monthly meal and gym allowances.
- Access to Udemy for Business, LinkedIn Learning, and a budget for external training.
- Two "Free Fridays" each year (limited to one per quarter).
- Comprehensive parental support, including up to 52 weeks of maternity leave and flexible paternity options.
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