Data Analyst

About the role

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. The Player Success Org (PSO) is tasked with improving player engagement and managing a healthy relationship with our most valued players, a critical function to Zynga’s day-to-day operations.

You’ll work with key stakeholders within the PSO to identify critical data dependencies and devise solutions through efficient data modeling, succinct reporting, timely investigations, and proactive insights. You’ll collaborate with Game and Central Analytics to ensure horizontal alignment and standardized practices, leveraging Zynga’s rich and expansive data to model and predict user behavior, making our games more personalized and fun.

Responsibilities

• Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, identifying statistical causation between campaigns, sweepstakes, and outreach programs across regions, demographics, and channels.
• Develop clear narratives from data using visualization tools to 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 quantify the impact of PSO’s campaigns on overall game performance and find opportunities to improve VIP engagement by leveraging in-game and external synergy.
• Provide ad-hoc support to account managers and senior stakeholders in measuring the effectiveness of off-beat campaigns, joint collaborations, and sweepstakes.

Requirements

• 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.

Benefits

• Medical, dental, vision, and basic life insurance coverage.
• 14 paid holidays per calendar year.
• Paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program.
• Up to 10 paid sick days per calendar year.
• Paid parental and compassionate leave.
• Wellbeing programs for mental health and other wellness support.
• Family planning support through Maven.
• Commuter benefits.
• Reimbursements for fitness-related expenses.
• Eligibility to participate in our 401(K) plan and Employee Stock Purchase Program.
• Bonus and/or equity awards.

Pay

The pay range for this position in Illinois at the start of employment is expected to be between $77,100 and $114,120 per year. Base pay offered may vary based on market location and individualized factors such as job-related knowledge, skills, experience, and other objective business considerations.