Zynga is seeking to improve the experience it provides to its players and drive measurable impact across the business through data-driven insights and scalable analytics solutions
Requirements
- Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, Airflow and DBT
- Adept in at least one visualization tool such as Tableau
- Understanding of B2C app metrics and KPIs, performance monitoring, and insights
- Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
- Demonstrated experience with some or all of the following: data mining, optimization, experimental design, computational analytics, econometric modeling
Responsibilities
- Work with large amounts of data to find opportunities to improve the experience that Zynga provides to its players
- Build scalable analytics solutions to monitor product health, player behavior, and business performance
- Partner with cross-functional teams to surface insights and deliver actionable recommendations
- Collaborate with Game Analytics and Product Managers to validate hypotheses through cohort and behavioral analysis, challenge assumptions with evidence-based alternatives
- Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making
Other
- 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
- Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
- Ability to influence through data, helping automate ad-hoc requests and uncover insights that drive measurable impact across the business
