Playtika (NASDAQ: PLTK) is a mobile gaming entertainment and technology market leader with a portfolio of multiple game titles. Founded in 2010, Playtika was among the first to offer free-to-play social games on social networks and, shortly after, on mobile platforms. Headquartered in Herzliya, Israel, and guided by a mission to entertain the world through infinite ways to play, Playtika has offices worldwide and over 4,000 employees.
Playtika is looking for a sharp and passionate Business Analyst to join us.
Responsibilities:
Analyzing large, complex data sets representing the behavior of millions of online and mobile game players to address strategic and operational business questions
Provide actionable recommendations and conclusions from game data to shape features, game economies, and future product roadmaps
Work closely with internal departments to drive insights that will help produce better games and insights that will drive towards monetization and retention improvements.
Build automated dashboards and reports to facilitate company-wide awareness and understanding of key business metrics and players’ experiences.
Manage multiple projects at a time in a fast-paced, results-oriented environment
Requirements:
3+ years of analytical work experience, preferably for a web or mobile company, Online Gaming industry
BA/B.Sc. in Statistics / Math / Engineering/ Economy or another quantitative field
Strong SQL with experience in querying large, complex data sets
A methodological approach for data together with the ability to present the data clearly and efficiently to support business decisions.
Advanced Excel, Tableau preferably Vertica knowledge – strong advantage
Advanced knowledge in statistical tools and models (R, SAS, advanced statistical tools) - Advantage
High level of analytical and problem-solving skills with strong attention to detail
Great Communication skills – someone who can turn complex concepts into actionable recommendations
A true passion for understanding consumers’ social gaming behavior and tolerance for ambiguity