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5 дней назад

Business Data Analyst (Mobile Gaming)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Business Data Analyst (Mobile Gaming): Translating large-scale player data into strategic insights and actionable recommendations for mobile game products with an accent on player behavior, monetization, and virtual economies. Focus on designing hypotheses, researching complex business questions, and turning rigorous analysis into persuasive narratives for product, design, and C-level decision-makers.

Location: Tel Aviv, Israel

Company

hirify.global is a mobile gaming company creating casual games such as Dice Dreams, Domino Dreams, and Disney Solitaire.

What you will do

  • Translate large-scale player data into actionable recommendations for product, design, and leadership teams.
  • Analyze player behavior, virtual economies, and incentive systems to understand their impact on long-term engagement.
  • Formulate and test hypotheses while building analytical frameworks for complex business questions.
  • Lead deep research projects and present compelling, evidence-based narratives that guide the strategic roadmap.
  • Use modern tools, including LLMs, to support brainstorming and automate routine work.

Requirements

  • 2+ years of experience in the gaming industry or more than 3 years of experience in monetization.
  • Strong first-principles thinking and the ability to break complex problems down into fundamental elements.
  • Deep curiosity about human behavior and the ability to form and communicate data-informed opinions.
  • Ability to explain complex statistical models through clear, persuasive narratives for diverse audiences, including C-level executives.
  • Resourcefulness, self-direction, and comfort working through uncertainty.

Nice to have

  • Understanding of experimental design and A/B testing methodologies.
  • Strong SQL skills for querying and manipulating large datasets.
  • Experience using Python for data analysis and automation.
  • Familiarity with user analytics platforms such as Mixpanel.
  • Experience with data visualization tools such as Looker.

Culture & Benefits

  • Work with exceptionally clean data without responsibility for ETL or technical pipeline maintenance.
  • Spend most of the role on analysis, brainstorming, learning, and research.
  • Collaborate closely with product, design, and leadership teams.
  • Use modern tools to automate routine analytical work and focus on ambiguous and complex problems.

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