AVAILABLE POSITIONS Data Analyst 3
Zynga is a leading developer of the world’s most popular social games that are played by millions of people around the world each day. To-date, more than 1 billion people have played our games across Web and mobile, including Words With Friends, FarmVille, Zynga Poker, Merge Dragons, Empires & Puzzles, Hit it Rich! Slots and CSR.
Zynga’s data science and analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We strive for a better understanding of our players which translates into challenges and features that delight them and increased social engagement within our games.
Here’s where you would come in: identify and formalize problems to understand user behavior. Create systems and analyses to derive insights that change the studio’s worldview. Be innovative, be creative, use every bit of that key commodity – data. Millions of people play Zynga games every day, so our data is tremendously rich and we have a lot of it!
We will rely on you to communicate your findings to your peers – both technical and non-technical. Your solutions to difficult problems will need to be demonstrably impactful, visual, and maintainable. You will work with our game teams to put your models into production. You will collaborate with Product Managers, Game Designers, and Engineers to deliver business impact, changing current practices in line with new findings and insights.
Work with large amounts of data to find opportunities to improve the experience that Zynga provides to its players
Deliver analytics and data science projects, balancing actionable insights to substantially improve core game metrics
Drive and empower game studio to make quantitatively informed, evidence-based decisions
Work closely with the game team to design, test, verify and implement machine learning models with Zynga’s games that impact millions of users
Design and evaluate novel scalable approaches to experimentation
Collaborate with stakeholders to encourage a data-driven product culture
Required Skills and Experience:
B.E./B.Tech/B.Sc in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or Ph.D. preferred
Careers Category: Data, Analytics & User Research
Careers location: Bengaluru, India
Connected Worker Type: Connected
Requisition ID: P210032
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