Data Analyst [User Acquisition] - Vivid Games
Vivid Games

Data Analyst [User Acquisition]

What are your duties?

  • Be the eyes (and most of the brain) of the user acquisition team:
    • Collect, compile and analyze data from UA campaigns (CPI, LTV, etc…) from various sources (SRNs, traditional ad networks, agency reports, etc…),
    • Cross this data with game metrics to better understand user sources, ultimately informing the UA decisions by answering the question: is the return on investment good on this campaign?
    • Create models to predict and / or estimate a campaign’s KPIs (eCPI, eROAS, etc…),
    • Create and be responsible to maintain a dashboard for data visualization to give a framework to the user acquisition team.
  • Work with the team on setting up and optimizing campaigns.
  • Integrate, connect and help in setting up tracking events for data analysis. Are we missing some information that would help us analyze results? Let’s implement it.
  • Be responsible for the best practices in data analysis for the user acquisition activities: we’re definitely not there yet.

What should you offer?

  • Experience (professional or not) in handling data sets,
  • Degree in a related field: Mathematics, Statistics, Business, etc…,
  • Good communication skills in oral and written English – this will be your working language,
  • Capable to take charge of your own projects: you will get goals, but how to reach them is on you,
  • Good to have:
    • Previous professional data analysis experience,
    • Understanding of marketing/user acquisition mechanisms and key metrics,
    • Experience with user acquisition campaigns, particularly SRNs (Facebook, snapchat, etc…),
    • Experience with Appsflyer (or other attribution platform).

What are we offering?

  • Opportunity for creative cooperation in the team of experienced professionals,
  • (ultra)dynamic work environment,
  • friendly and creative atmosphere,
  • competitive salary adequate to experience,
  • modern, conveniently located offices,
  • flexible working hours,
  • possibility of partially remote work,
  • daily breakfasts, fresh fruit and drinks,
  • private health care package and financial support of sport activities,
  • relocation package.
Apply for the position

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 By submitting your application you disclose to us your personal data: name and email, as well as data concerning your education and former employment. In case your CV contains your photo, your picture also is treated as personal data. All the aforesaid information shall be called “Data”.
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