Data Analyst, Mobile

Singapore

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2K

2K publishes titles in today's most popular gaming genres, including shooters, action, role-playing, strategy, sports, casual, and family entertainment.

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Who We Are:

2K develops and publishes interactive entertainment globally for console systems, handheld gaming devices and personal computers, including mobile devices. 2K is a leading publisher of today’s most popular gaming genres and most well-known for critically acclaimed game franchises like NBA 2K, WWE 2K, BioShock, Borderlands, Evolve, XCOM and the beloved Sid Meier’s Civilization.

What We Need:

2K has been a major console and PC game publisher for several console generations and is known for bringing amazing IP to the market. As our games get bigger and more complex, we are growing our analytics group. We’re looking for a skilled and passionate Sr. Analyst to work in the Analytics team, who will be primarily focusing on 2K’s mobile games and be responsible with crunching data, translating that information into digestible reports, setting up dashboards, building predictive models, and giving actionable data and insights to our development team.

What You Will Do: Data Analyst, Mobile Analytics

  • Working closely with development teams to provide insights to understand the impact of product decisions on game quality
  • Working with the development teams to help determine what data needs to be captured to serve their needs and how to summarize the data in the most useful format
  • Analyzing gameplay and economy telemetry data to understand how feature, content, and balance adjustments are impacting overall player experience, before and after the product launches
  • Analyzing game and player data to understand the player behaviour and enhance the quality of the player experience
  • Regularly performing ad hoc analyses for development, live ops, and performance marketing teams
  • Presenting findings taken from data analysis both in person and in presentation form for remote groups
  • Designing, testing and implementing scalable and repeatable model framework for user acquisition, engagement and monetization strategies around liveops
  • Defining and establishing business KPIs as well as creating and distributing regular performance reports and dashboards

Who We Think Will Be a Great Fit:

We’re looking for an analyst who is eager to mine data for insights, hypothesis driven and experienced with using data-driven techniques to test the hypotheses rigorously. The ideal candidate must be able to see the underlying story in the data and develop a compelling communication to executives. Being a solution oriented, creative problem solver and self-starter with passion and enthusiasm to drive the results for meaningful changes are also going to be very critical for this role.

Key to success in this role:

  • B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, Data Science, Engineering Sciences (or in another quantitative discipline)
  • 5+ years of experience in data mining & analytics with very large, complex and multi-dimensional data sets
  • Experience with predictive modelling techniques and accomplished in use of one of the statistical software packages like R, or Python
  • Knowledge of one or more of the following: time series, experimental design, classification, clustering, and regression analysis
  • Expert in relational databases, and proficient with SQL
  • Advanced experience with Tableau or other similar visualization tools
  • Excellent communication skills, with a proven track record of working across all levels of the organization

Bonus points:

  • Master’s or PhD Degree in quantitative field
  • Experience with machine learning and deep learning
  • Experience with big data technologies such as Spark, Hadoop, or Hive
  • Knowledge of free-to-play mobile game economics and/or performance marketing
  • Experience of initiating and leading interdisciplinary science and engineering research and projects
  • Passionate for mobile gaming and user growth

Tags: Big Data Classification Computer Science Data analysis Data Mining Deep Learning Economics Engineering Hadoop KPIs Machine Learning Mathematics PhD Python R RDBMS Research Spark SQL Statistics Tableau Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: Singapore
Job stats:  10  1  0

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