Game Data Analyst (удаленная работа)

1 ноября 2024

Уровень зарплаты:
з.п. не указана
Требуемый опыт работы:
Не указан

Вакансия: Game Data Analyst

Описание вакансии

Founded in 2010, Social Quantum is ranked among Top 10 biggest game publishers in Eastern Europe. We focus on a mission to make high-quality games with immersive experiences, bringing players engaging worlds full of exciting stories, multi-level gameplay, and stunning graphics using cutting age technologies.

Responsibilities:

  • Organize the collection and processing of game data in collaboration with data engineers, game designers, and developers, starting from the design stage of game features;

  • Analyze collected data, including key metrics of game products, game balance analysis, economics, player behavior, and individual game features;

  • Analyze the performance of in-game events, promotions, the release of new features, and game versions, and prepare reports;

  • Identify problems and improvement opportunities for games based on data, formulate proposals and hypotheses;

  • Analyze monetization effectiveness, suggest improvements, and analyze the results of their implementation;

  • Visualize data: develop reports, dashboards, and funnels in Amplitude and Tableau/QuickSight;

  • Participate in the organization, conduct, and interpretation of A/B tests;

  • Develop and maintain the relevance of documentation on data collection and analytics.

Requirements:

  • At least 2 years of experience as an analyst on a gaming project;

  • Understanding of key metrics for game products;

  • Understanding of methods of monetizing mobile games;

  • Experience with Amplitude, Tableau/QuickSight;

  • Excell ent knowledge of SQL. Knowledge of Python or any other scripting language;

  • Mathematical background: knowledge of probability theory and applied statistics;

  • Knowledge of A/B testing methodology and experience conducting split tests.

Would be a plus:

  • Knowledge of ETL processes and methods;

  • Experience with any NoSQL solutions: Cassandra, Redis, etc;

  • Experience with AWS services.



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