Data Analyst @ Zynga
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About Data Analyst at Zynga
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment under Take-Two Interactive, our diverse game portfolio connects players in over 175 countries.
Our Data Science and Analytics team uses unique, expansive data to model and predict user behavior, making our games more personalized and fun. You will work with the Player Success Org (PSO) to improve engagement, manage relationships with valued players, and collaborate with key stakeholders to deploy efficient data modeling, reporting, analysis, and proactive insights.
What You Will Do
- Analyze large data sets to find opportunities for improving player experience.
- Create visual narratives with tools like Tableau to capture VIP engagement.
- Support the Player Support team by identifying customer satisfaction improvements.
- Collaborate with game analysts and product managers to measure campaign impact.
- Provide ad-hoc reporting and insights to senior stakeholders.
What You Bring
- Fluency in SQL and intermediate programming in Python.
- Experience with visualization tools such as Tableau.
- Understanding of CRM or sales analytics is an advantage.
- Proven experience in data mining, optimization, experimental design, computational analytics, and reporting.
- 2+ years of work experience in data analytics or data science roles.
- A degree in Computer Science, Math, Statistics, Economics or related quantitative field; advanced degrees preferred.
What We Offer You
Zynga offers a world-class benefits package along with a diverse, inclusive work environment. We are proud to be an equal opportunity employer committed to supporting individuals with disabilities and providing necessary accommodations.
Key skills/competency
- SQL
- Python
- Tableau
- CRM
- Data Mining
- Optimization
- Visualization
- Reporting
- Analytics
- Gaming
How to Get Hired at Zynga
🎯 Tips for Getting Hired
- Research Zynga's culture: Study mission, values, news, and employee reviews.
- Tailor your resume: Highlight SQL, Python, and analytics skills.
- Prepare data-driven stories: Demonstrate successful campaign analyses.
- Practice technical interviews: Brush up on SQL queries and Tableau demos.