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Senior Game Data Analyst

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๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City, Vietnam
Contract Full Time
Experience Level Intermediate (2โ€“5 years)
Published Date

Job responsibilities:

  • Generating large systematic reports as well as smaller, one-off pieces of analysis.
  • Delivering ongoing reports and performance monitoring from multiple data sources.
  • Collaborating in the development of interactive dashboards for data mining and visualization.
  • Proactively developing new analyses and insights, deconstructing and optimizing existing systems to drive decisions and strategies for user acquisition, retention and monetization.
  • Debugging and resolving issues to ensure the delivery of accurate metrics.
  • Communicating daily with development teams to suggest ideas and changes.
  • Curate, clean, segment model and analyze vast amounts of data from our customers.
  • Collaborate with an international team of data experts, share their knowledge, and contribute to improving the skills of the technical data team.

Job Requirements:

  • 4-5 years of experience performing quantitative analysis, preferably for an Internet or technology company.
  • Bachelor's degree in Math, Business Intelligence, Economics, Engineering or another technical field (required).
  • Excellent SQL & Big Query skills: extensive experience querying large, complex data sets.
  • Experience with Looker Studio or similar tools (Tableau, Power BI).
  • Proven ability to work in a fast-paced environment, meet ever-changing deadlines and handle priorities for multiple projects at once.
  • Clear understanding of business and monetization.
  • Excellent organizational, communication and interpersonal skills.
  • Comfortable and confident giving presentations and communicating analyses.
  • Enjoy working in both individual and team settings.
  • Strong English skills, written and spoken (this is a must).
  • Keen interest in video games.

Nice to have (is a plus):

  • Scripting in either R or Python is desirable.
  • Ability to create complex models and algorithms.
  • Understanding of advanced statistical methods.
  • Familiarity with machine-learning techniques.
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