Position Overview
Zynga’s mission is to connect the world through games. Its vision was that gaming would become a mass market activity, and "play" would be an important verb in our daily lives. As a part of this vision, 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 our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We continually strive to better understand our players, and provide them with experiences that surprise and delight.
Here’s where you would come in: A successful candidate will be passionate about analytics and data science and ability to impact game performance through customer-centric, data-driven initiatives. As a member of the Central Analytics team, you will have the opportunity to build end-to-end scalable data-driven solutions to generate impactful insights and work on exciting, large scale projects. You will collaborate with Product Managers, Game Analysts, and Engineers to deliver business impact.
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!
Responsibilities:
- Work with large amounts of data to find opportunities to improve the customer experience and engagement that Zynga provides to its players.
- Perform game performance and monetization analytics for various business units to build strategies to maximize the adoption and revenue.
- Use our modern data stack, including Redshift, Databricks, PySpark, Airflow, Github, and Tableau to develop innovative tools.
- Develop clear narratives from data using visualization tools such as Tableau.
- Bolster customer trust and build technical knowledge through the execution of ad hoc analyses of high business priority.
- Adept at communication and collaboration across various functional areas within the organization.
Desired Skills & Experience:
- Strong experience in SQL, Python and data modeling; Familiarity with DBT is a plus
- Adept in at least one visualization tool such as Tableau.
- Understanding of B2C metrics and KPIs, performance monitoring and insights.
- Demonstrated experience with some or all of the following: data mining, optimization, experimental design, computational analytics, econometric modeling.
- Ability to work effectively in a fast-paced environment with changing priorities.
- Strong written and oral communication skills.
- 4+ years of work experience in data analytics or data science roles.
- BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Master's, MBA or PhD preferred.
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 site
