Data Analyst

This job is no longer active!

View all jobs TRK Professional active

View all jobs Data Analyst active on

View all jobs IT Software active on

Employer: TRK Professional
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • Updated at: 26.03.2018
    Short company description

    We are a consultative partner for our clients and candidates, delivering customized solutions for both sides. Our company offers support in recruiting white collars for local and cross-border projects. Recruiting experts of TRK Professional understand the specific needs of our clients and are building strong relationships to candidates from various professions and fields.


    Would you like to work on a new type of social fitness game which motivates players to stay active, reach goals, live better?

    You have:
    Passion for video games
    Previous experience in business analyst roles

    You'd like to be part of a team that makes a new genre of games for next-generation wearable
    A Google-style working environment
    And have great salary and yearly bonuses ?

    What we require:

    Experience in intelligence tools such as Tableau, Google Analytics, Amazon Mobile Analytics or Qlik
    Bachelor’s degree in computer science, statistics, and mathematics, with a strong quantitative focus and good logical thinking
    A minimum of 3 years’ experience in reporting and statistical model development. Fresh graduate students with strong technical skills and good business acumen are also welcome
    The ability to translate business requirements into technical and data requirements
    Willingness to learn and work in a start-up environment
    Ability to adapt quickly to changing priorities.


    Develop reporting and performance tracking solutions to understand game play and key business behaviors, such as player acquisition and retention
    Develop, organize, and manage a library of reports and dashboards
    Work with development team to design and construct sophisticated statistical models to forecast key business metrics
    Effectively communicate statistical findings and insights to management, both in written and verbal presentations.