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Ad Monetization Manager - Casual Gaming

CDI
Barcelona
Salaire : Non spécifié
Télétravail non autorisé
Expérience : > 3 ans

Voodoo
Voodoo

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Le poste

Descriptif du poste

We recruit passionate and creative profiles, who combine data and new technologies to disrupt the mobile market. Driven by a test-and-learn culture, we welcome wonderfully talented people wishing to undertake and manage unique, ambitious and challenging projects. Our goal is to foster excellence, both individual and communal, which to us means solving problems by breaking the rules, learning fast and autonomously and delivering with the best execution.

Before applying, you need to know that the company’s Culture is very important to us. Our employees evolve within an environment designed to be a centre for fulfillment. Daily life at Voodoo is characterised by numerous events throughout the year that allow you to feel fully integrated into the team and get involved in creative and innovative projects. Among them: onboarding programs, our annual global summit, other company-wide events, hackathons, game jams, wellness events and more. 

What will be your main challenges?

  • You will own ad revenue of casual and hybrid games, and manage relations between IAP and IAA revenue streams. 
  • You will plan and execute monetization initiatives that will motivate and encourage the players to engage with the Voodoo game portfolio over time.
  • You will closely work with the user acquisition team on synchronizing marketing initiatives with IAP / IAA revenue strategies.
  • You will closely work with the product team on improving product and monetization KPIs
  • You will, with the global casual team, build the monetization strategy, from a data-driven idea, through a concept, creative implementation, testing, and finally analysis. 
  • You will work on multiple side projects aiming the improvement of the performances of our games
  • What do we expect?

  • 3+ years of experience as a Monetization manager in the casual gaming industry 
  • Experience working with cross-functional teams, preferably managerial
  • Proven analytical competencies, data-oriented, and comfortable with presenting data
  • Strong self-learning and analytical skills with a problem-solving attitude.
  • Ability to define, measure and conclude A/B tests
  • Ability to generate, manipulate and read data and transform it into actionable insights
  • Strong English written/verbal communication skills
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