Data Analyst

Business Intelligence San Mateo, California


Restaurant Dash with Gordon Ramsay

Description

As a Data Analyst, you will be the analytical data partner for our game studios.  You will work closely with Game Designers & Product Managers to transform subjective discussions about product into concise analytic questions that deliver actionable answers. You will take a leadership role in managing studio relationships, mentoring junior analysts & shaping the evolution of our analytics infrastructure. This is a high visibility role that will have a direct impact on the success of some of our biggest titles.

Responsibilities:

For this role, we are looking for someone with strong business/product acumen & technical foundation.

  • Work with game teams to measure and optimize performance of titles in beta and after worldwide launch.
  • Using state of the art big data tools such as Hive, Presto and Redshift, to sift through billions of rows of data to answer challenging business questions.
  • Help design and analyze AB and multivariate experiments.
  • Using Tableau to build dashboards that allow game teams to self serve custom data for their titles.
  • Collaborate with game team to define telemetry of titles.
  • Continuously learn new technologies that advance analytic function at Glu

Qualifications:

  • Bachelors/Masters Degree in Computer Science, Economics, Mathematics, Statistics or related field.
  • 3+ years experience as analyst, data scientist, or related quantitative role.
  • High proficiency with SQL, especially in distributed environments (Hive/Presto).
  • Comfortable in UNIX, Python.
  • Understanding of statistical analysis and familiarity with core statistical functions.
  • Excellent presentation and communication skills.
  • Passion for aggressively finding opportunity in data.

Preferred Skills:

  • Passion for gaming.
  • Experience with Hadoop, HP Vertica, and other big data technologies.
  • Experience with modern programming languages (e.g. python, javascript)
  • Experience with statistical packages such as R or SAS.
  • Predictive analytics or machine learning experience.