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8 месяцев назад

Head Of Analytics Gaming

Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
Europe/Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Head Of Analytics Gaming (Data Science ML): Leading analytics and insights teams to develop data-driven strategies and capabilities for gaming verticals with an accent on analytics maturity, decision science, and stakeholder collaboration. Focus on building scalable teams, promoting self-service analytics, and driving business growth through data insights.

Location: Belgium

Company

hirify.global is a global tech and entertainment company delivering technology-driven sports betting and gaming experiences across multiple countries, with a strong focus on innovation and responsible technology.

What you will do

  • Support VP of Gaming Verticals in financial and product objectives by developing analytics capabilities and decision science setups.
  • Collaborate with Data Engineering and Reporting teams to enable self-service data usage and increase data literacy.
  • Develop clear objectives, metrics frameworks, and decision rules to optimize marketing outcomes and budgets.
  • Lead and develop a top talent analytics team, ensuring scalable and effective organization structure.
  • Coordinate cross-functional efforts to align analytics work with shared business objectives and outcomes.
  • Foster a culture of innovation, continuous feedback, and high performance within the analytics team.

Requirements

  • Location: Belgium
  • Experience leading analytics, data science, or insights teams at senior or head level.
  • Strong skills in data analysis, business intelligence, and statistical methods.
  • Proven ability to use analytics to drive business growth and decision-making.
  • Excellent communication and leadership skills for cross-functional collaboration.

Culture & Benefits

  • Focus on continuous development of data infrastructure and team skills.
  • Promotion of a 360 continuous feedback culture and performance management.
  • Emphasis on innovation, ideation, and experimentation within the team.
  • Strong partnership with data engineering and data science teams to shorten product cycles.

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