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3 месяца назад

Data Analyst (Gamedev)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
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 (Gamedev): Turning player and gameplay data into actionable insights to support data-informed decision-making across development teams with an accent on investigating player behaviour and contributing to analytical approaches. Focus on translating analyses into clear insights and recommendations that support design, production, and product decisions.

Company

hirify.global is a company focused on interactive entertainment.

What you will do

  • Support analytics for gameplay domains, working with stakeholders to define goals, measurement approaches, and analysis plans.
  • Conduct analyses that uncover player behaviour patterns, design risks, and opportunities to improve engagement and player experience.
  • Partner with cross-disciplinary stakeholders to shape analysis from question framing through delivery and follow-up.
  • Help define success metrics by translating project goals into KPIs, standard metrics, and measurement approaches.
  • Contribute to the design and validation of gameplay telemetry and event taxonomy.
  • Translate analyses into clear insights and recommendations that support design, production, and product decisions.

Requirements

  • Experience working with cross-disciplinary teams to deliver analytical insights that support decision-making.
  • Advanced SQL skills with a strong track record of working with large behavioural datasets.
  • Strong analytical ability and quantitative reasoning.
  • Experience working with stakeholders to turn ambiguous questions into well-scoped analysis and actionable insights.
  • Strong understanding of games and player behaviour.
  • Experience with data visualisation tools such as Tableau.

Nice to have

  • Curiosity and a habit of exploring new analytical methods or tools when appropriate.
  • Experience with A/B testing or experimental design.
  • Familiarity with version control workflows (e.g., Git) and reproducible analysis practices.

Culture & Benefits

  • Background checks at the offer stage for all new employees.

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