Zynga · Posted 2w ago
Principal Data Analyst (Poker)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇨🇦 Toronto, Canada
- Contract
- Full-time
- Role
- Analytics & BI
- Source
- Stapply Data
Stack
- Tableau
- LLM
- SQL
- Python
The posting
Join Zynga Poker as a Principal Data Analyst, where you'll drive data-driven insights that impact millions of players worldwide. You'll analyze trends, design experiments, maintain dashboards, enhance fraud detection, and collaborate with the product team to improve revenue, retention, and engagement metrics. This role requires a strong background in data science or analytics, proficiency in Python and SQL, and a passion for gaming. Enjoy a range of benefits, including wellness programs, flexible time-off policies, and opportunities for equity participation.
- Analyser les tendances à long et à court terme pour fournir des informations qui influencent la direction du produit. - Concevoir, réaliser et analyser des expériences statistiquement solides qui ont un impact mesurable. - Maintenir des tableaux de bord complets et des pipelines ETL pour informer l'organisation sur la performance du jeu.
- Demonstrated experience guiding product teams through complex decisions and analyses and dealing with ambiguous data - Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous - Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus - Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning - Highly self-motivated with a keen interest in problem-solving - Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus - Willingness to take ownership of challenges - Experience/ Demonstrated interest in improving analytics team's processes and work efficiency using LLMs - Proficiency in Python and SQL - Strong communication skills - you can explain complex data in simple, actionable terms - Strong ability in both written and oral communication - Minimum of 8 years in data science or analytics roles, preferably with 6 years in a Product Data Science or Gaming Analytics team - Proven ability to work collaboratively as part of a team - Experience/ Interest in improving analytics team's processes and work efficiency using LLMs - Familiarity with poker gameplay and terminology - Familiarity with social casino economies