Data Analyst 2 Bengaluru, India in London

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.

Position Overview: 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 world view.
• 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.

What You’ll Do:

• 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 that are aligned with the roadmap, and product goals - balancing actionable insights to substantially improve core game metrics.
• Drive and empower game studio to make quantitatively informed, evidence based decisions through maintaining source of truth data sources and dashboards.
• Work closely with the game team to design, test, verify and implement machine learning models and product features with Zynga’s games that impact millions of users.

What You Bring:

• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred.
• 2+ years of work experience in data science or analytics roles.
• Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView.
• Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning.
• Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale.
• Strong written and oral communication skills.
• Ability to work effectively in a fast-paced environment with changing priorities.
• Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact.

What We Offer You: Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits.

We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process.