4 дня назад
Senior Games Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Games Data Analyst (Gamedev): Transforming player and product data into actionable insights to optimize engagement, retention, and monetization with an accent on statistical modeling and experiment design. Focus on building measurement frameworks, conducting A/B tests, and providing data-driven recommendations to influence product strategy.
Location: Global - Remote
Company
is a remote-first company focused on sustainable growth in the gaming and entertainment sector.
What you will do
- Analyze player behavior across the full lifecycle, including acquisition, retention, and monetization.
- Design and evaluate A/B tests and experiments to optimize game features and campaigns.
- Define and maintain key product metrics and analytical frameworks.
- Build dashboards and recurring reports to monitor product performance.
- Partner with Product Managers and game teams to define analytical requirements.
- Collaborate with Data Engineers to improve data quality and analytical datasets.
Requirements
- 5+ years of experience in data analytics, product analytics, or business intelligence.
- 3+ years of experience in gaming, online entertainment, betting, or financial quantitative research.
- Advanced SQL skills and experience with large-scale datasets.
- Solid knowledge of statistics, hypothesis testing, and experiment design.
- Proficiency in Python or R for data analysis and automation.
- Experience with BI tools like Tableau, Power BI, Looker, or Apache Superset.
Nice to have
- Published statistics-related research in an SCI-indexed journal.
- Familiarity with cloud data warehouses such as Redshift, Snowflake, BigQuery, or Databricks.
Culture & Benefits
- Remote-first work environment with flexible core hours (10am-3pm local time).
- Competitive salary with quarterly performance-based bonuses.
- 28 days of paid annual leave.
- Top-of-the-line equipment provided.
- Annual company retreats for internal networking.
- Referral and flash bonuses.
Hiring process
- Remote video screening with the Talent Acquisition Team.
- Offline take-home assignment.
- Remote video interview with team members (3x45 minutes).
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