Zynga -posted 3 months ago
Full-time • Mid Level
1,001-5,000 employees

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. The Player Success Org (PSO) is tasked with improving player engagement and managing a healthy relationship with our most valued players. You’d be expected to work with key stakeholders within the PSO to identify critical data dependencies, and devise solutions for them in the form of efficient data modeling, succinct reporting, timely investigations, and proactive insights.

  • Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies.
  • Develop clear narratives from data using visualization tools that capture VIP engagement & health, player support, and campaign stats.
  • Extend support to the Player Support team to identify improvement opportunities in customer satisfaction, while optimizing for internal costs.
  • Collaborate with game analysts and product managers to better quantify the impact of PSO’s campaigns on overall game performance.
  • Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of off-beat campaigns, joint collaborations, and sweepstakes.
  • Fluent in SQL; Intermediate experience with programming in Python.
  • Adept in at least one visualization tool such as Tableau.
  • Experience in CRM or sales analytics is helpful.
  • Demonstrated experience with some or all of the following: data mining, optimization, experimental design, computational analytics, and reporting.
  • Ability to work effectively in a fast-paced environment with changing priorities.
  • Strong written and oral communication skills.
  • 2+ years of work experience in data analytics or data science roles.
  • BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred.
  • World-class benefits package that helps support and balance the needs of our teams.
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