Game Economist

Description

Who are we?

Come and join a rapidly expanding mobile games company!

SuperPlay is committed to developing the finest mobile games in the world, while having an enjoyable time doing so. In 2019, the company was founded by experienced professionals from Playtika and Rovio with the goal of producing casual games that are delightful and unforgettable, and that players can enjoy for years.

Our flagship game, Dice Dreams, is a global sensation and a top-100 grossing hit, while our upcoming game, Domino Dreams, is on track to follow in its footsteps.

Headquarters are in Tel Aviv, and our staff has expanded to include numerous skilled, devoted, and ambitious individuals.

Our plans for the future are even more fascinating. If you'd like to be a part of our journey, please take a look at the job description below.

What will you do in SuperPlay?

• Design the user experience from an economic point of view, trying to predict the players' behavior according to the data we already have
• Price the game's virtual currencies
• Build simulations and predictive models to forecast the results of changes to the content proactively
• Work with product teams on balancing new features
• Monitor individual and macro player balances to ensure the overall health of the game's economy
• Analyze large, complex data sets to address strategic and operational business decisions

Who are you?

• BA/B.Sc. in Statistics / Math / Engineering / Economy or other quantitative fields
• High-level analytical and problem-solving skills with strong attention to details
• Excellent communication skills – someone who can turn complex concepts into actionable recommendations
• A true passion for understanding consumers' social gaming behavior and tolerance for ambiguity
• Advanced Excel knowledge, including data manipulation, etc

You get bonus points for:

• A strong interest in games
• Strong SQL experience that includes querying large and complex data sets
• Previous analytical work experience, preferably in the Gaming industry
• Advanced knowledge in statistical tools and models (R, SAS, Python)
• Experience in BI tools such as Tableau and Looker
• ML knowledge

Requirements