Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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 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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