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1 день назад

Data Analyst

80 000 - 130 000$
Формат работы
remote
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Data Analyst (Game Analytics): Build client-facing analytics that deliver free diagnostics and action plans for studios, with an accent on revenue-tied A/B testing, live ops, UA recommendations, and exec-ready narratives. Focus on funnel audits, benchmarking, and partnering with Game Data Analysts and Data/ETL engineers to keep data clean and well-defined.

Location: Remote

Salary: $80,000–$130,000 per year

Company

hirify.global provides commerce tools and services for video game developers to fund, distribute, market, and monetize their games.

What you will do

  • Use multiple data sets to form testable hypotheses for hirify.global customers.
  • Recommend and help launch high-leverage revenue-tied A/B tests.
  • Run funnel audits and support product adoption with clear, exec-ready storytelling.
  • Provide Live ops and UA recommendations, plus genre benchmarks and market-based validation.
  • Partner with Game Data Analysts and Data/ETL engineers to ensure data is clean, secure, and well-defined.

Requirements

  • 2–5+ years of experience in game analytics, including presenting results to non-analysts.
  • Strong familiarity with UA, creatives, MMPs, monetization/live ops, and payments conversion.
  • Solid SQL and BI literacy to validate metrics and sanity-check data pipelines.
  • Experience designing and interpreting A/B tests.
  • Ability to work at a high level in SQL plus Python or R.

Nice to have

  • Language coverage for key markets (Russian, Chinese, Korean; others welcome).
  • Experience working on titles across multiple genres and platforms.

Culture & Benefits

  • 100% company-paid medical, dental, and vision plans.
  • Unlimited Flexible Time Off.
  • Personalized career roadmap and professional development through training and education.
  • Supportive environment focused on employees’ well-being and family support.

Hiring process

  • Background checks may include criminal history, employment verification, and education verification.
  • Hiring decisions are made by humans; AI tools may be used to support parts of the review process.

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