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Data Analyst (iGaming CRM)

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

Текст:
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TL;DR
Data Analyst (iGaming CRM): Defining analytical frameworks, dashboards, segmentation models, and predictive indicators for an iGaming CRM platform with an accent on player engagement, retention, campaign performance, and operator insights. Focus on building scalable cohort and benchmarking frameworks, designing A/B testing standards, and developing churn, reactivation, and player-value indicators.

Location: London, United Kingdom; hybrid work schedule available after the first three months, with up to 50 work-from-home days per year

Company

hirify.global is a B2B SaaS provider delivering iGaming software, content, platforms, payments, sports betting, casino, and affiliate management solutions.

What you will do

  • Define KPIs, metrics, and analytical frameworks for the CRM platform’s reporting and intelligence capabilities.
  • Work with Product and Engineering to shape data capture, structure, and presentation to end users.
  • Build dashboards, reports, self-serve analytical tools, benchmarks, cohort analyses, and segment performance models.
  • Partner with operators to analyze retention, engagement, player behavior, campaign effectiveness, and growth opportunities.
  • Define segmentation logic, player scoring models, lifecycle stages, and A/B testing standards.
  • Develop predictive indicators for churn, reactivation potential, and player value, and present recommendations to technical and non-technical stakeholders.

Requirements

  • 5+ years of experience in Data Analysis or a similar role.
  • Hands-on iGaming CRM experience within an operator or platform environment, including knowledge of player behavior, bonus mechanics, and retention marketing.
  • Strong understanding of CRM operations, campaign logic, segmentation, lifecycle marketing, and retention mechanics.
  • Strong SQL skills, including complex queries, data models, and analytical datasets.
  • Experience with large-scale behavioral or transactional datasets and defining measurement frameworks.
  • Experience building dashboards and self-serve reporting tools, plus strong written and verbal communication skills.

Nice to have

  • Knowledge of A/B testing methodologies and experiment design.
  • Exposure to predictive modeling or applied ML use cases such as churn, LTV, and propensity.
  • Experience with event-driven or streaming data environments.
  • Python or R for analytical scripting and automation.

Culture & Benefits

  • Hybrid work arrangement with up to 50 work-from-home days per year after the initial three months.
  • 25 days of annual leave initially, increasing by two days per year up to 35 days by the fifth year.
  • Private medical insurance, monthly meal allowance, gym allowance, and learning resources including Udemy for Business and LinkedIn Learning.
  • Two Free Fridays per year and three sick-leave days annually without a doctor’s note.
  • Paid parental leave, including 52 weeks of maternity leave with 21 weeks fully paid and four weeks of paternity leave.

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