Director of Engineering, Analytics

Director of Engineering, Analytics:

The Director of Engineering will lead Zynga’s critical efforts to create and maintain world-class analytics systems used to collect high data volumes, optimize game player behaviour, optimize advertising spend, and support analysts.  Zynga’s Central Analytics organization is known for its large scale analytics infrastructure, capturing billions of events daily, supporting thousands of experiments and active optimization, and hundreds of thousands of daily queries.  The ideal candidate will have superior process skills, awesome people skills, a high level of integrity, great technical depth, and a strong desire to build successful engineering teams. Don’t hesitate; Apply now!

Responsibilities

  • Partner with other parts of the organization to understand business goals to drive meaningful improvements in our game metrics through a variety of optimization techniques.
  • Build, manage, mentor and lead multiple team totalling 15+ engineers.
  • Hire additional top performers to grow the team as needed.
  • Provide strong mentorship for the team, improving engineering best practices & team morale
  • Strive to reduce major issues in the team’s products
  • Strives for excellence in development process including planning, time and quality estimation, problem solving, and communicating development status.
  • Clear and active communication with team and management, providing active status and recommendations around in scope projects or other areas of concern.
  • Updates knowledge constantly. Always learning and seeking to learn.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent.
  • 8+ years related professional experience in Analytics, Business Intelligence and/or Data Warehousing.
  • 2+ years of experience in Marketing or User Acquisition field.
  • 5+ years of experience in team management, including hiring, building key projects and career management.
  • Proven ability to motivate teams and operate effectively in a fast-paced, high-energy environment
  • Proven experience with large-scale data analysis, data-mining, business intelligence systems, and other advanced business reporting tools, including SQL or similar tools


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