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3 дня назад

Data Analyst (iGaming)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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