Data Analyst – Mobile Analytics


Singapore Permanent Negotiable

Our client is a leading entertainment publishing company known for today’s most prominent game franchises. They are currently looking for a Data Analyst to join their growing team to focus on Mobile gaming development.


  • Working closely with development teams to understand what data needs to be collected to improve the product quality
  • Analysing game content, player data and behaviour to understand how to enhance user experience
  • Perform analysis and predictive models for development, performance marketing and presentation, along with creating and distributing performance reports, dashboards
  • Designing, testing and implementing scalable and repeatable model framework for user acquisition, engagement and monetization strategies

About YOU:

  • Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications
  • Experience in data mining & analytics with very large, complex and multi-dimensional data sets
  • Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
  • Experience in scripting with SQL
  • Data visualization (such as Tableau, Excel, etc)
  • Knowledge of mobile gaming and/or performance marketing
  • Experience of initiating and leading interdisciplinary science and engineering research and projects
  • Strong written, verbal communication and presentations skills

If you are interested in this role or would like to discuss similar roles you are interested in, please feel free to reach out to for a confidential discussion.

Salt Search Pte Ltd – EA 05C4494

(CEI : R1438084. Licence : 07C3147)

Salt is acting as an Employment Agency in relation to this vacancy.

Job Information

Job Reference: JO-2011-195372
Salary: Negotiable
Salary per: annum
Job Duration:
Job Start Date: 18/12/2020
Job Industries: Technology
Job Locations: Singapore
Job Types: Permanent
Job Skills: data & analytics, probability theory, R / Python, SQL, statistics

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