Data Analyst at Zynga | TX | Rezi

Data Analyst at Zynga

Data Analyst

Zynga · TX

1 weeks ago

Data Analyst

Zynga · TX

8 days ago
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About the Role

The Player Success Org (PSO) is a critical function to Zynga's daily operations, focused on improving player engagement and managing relationships with valued players. This role involves collaborating with PSO stakeholders to identify data dependencies and develop solutions through data modeling, reporting, investigations, and insights. You will also collaborate with Game and Central Analytics to ensure alignment and standardized practices.

Responsibilities

  • Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns, sweepstakes, outreach programs across various regions, demographics, and channels.
  • 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 and find opportunities to improve VIP engagement by leveraging in-game and external synergy.
  • Provide adhoc 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.

Skills

  • SQL
  • Python
  • Tableau
  • CRM analytics
  • Sales analytics
  • Data mining
  • Optimization
  • Experimental design
  • Computational analytics
  • Reporting
  • Data modeling
  • Data visualization

Location

  • Illinois

Work Type

  • Full-time

Experience Level

  • 2+ years of work experience in data analytics or data science roles

Education Level

  • BS in Computer Science, Math, Statistics, Economics, or other quantitative field
  • Masters, MBA or PhD preferred

Salary/Compensations

  • $77,100 - $114,120 per year

Benefits

  • World-class benefits package
  • Bonus and/or equity awards
  • Eligibility to participate in our 401(K) plan and Employee Stock Purchase Program
  • 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

About the Company

  • Zynga brings people together through the power of play.
  • A global leader in interactive entertainment and a proud label of Take-Two Interactive.
  • Games have been downloaded over 6 billion times, connecting players in 175+ countries.
  • Diverse game portfolio including FarmVille™, Words With Friends™, Zynga Poker™, and many more.
  • Founded in 2007 and headquartered in California, with teams spanning North America, Europe, and Asia.
  • Zynga's mission is to connect the world through games.
  • Zynga Analytics partners with studios to release and grow multiple games, while also owning the analytics stack and central tools.
  • Zynga’s Data Science and Analytics team uses expansive data to model and predict user behavior, making games more personalized and fun.

Equal Opportunity

  • We are proud to be an equal opportunity employer, committed to creating and celebrating diverse thoughts, cultures, and backgrounds.
  • Employment is based on substantive ability, objective qualifications, and work ethic – not protected characteristics.
  • We are committed to providing necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments.
  • Zynga does not conduct job interviews or make job offers over third-party messaging apps.
  • Zynga does not engage in any financial exchanges during the recruitment or onboarding process.
  • Zynga’s in-house recruitment team will only contact individuals through official Company email addresses.