Senior Marketing Data Analyst

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.

• Project Ownership & Decomposition: Participate in the planning, requirements gathering, and delivery of large, multi-phased growth and marketing analysis projects with minimal guidance. Break down complex, ambiguous business problems into structured, actionable analysis plans.
• Strategic UA Partnership: Partner closely with Marketing and User Acquisition (UA) squads to monitor campaign performance, decompose complex trend changes, and provide high-impact insights that optimize multi-million dollar budget allocations.
• Performance Measurement & Frameworks: Own the analysis of user acquisition funnels, ROAS, LTV, and payback periods. Collaborate with central data teams to refine marketing measurement frameworks (e.g., attribution models, incrementality testing).
• Data Presentation & Storytelling: Visualize and communicate complex analytical findings to senior stakeholders and cross-functional peers, translating raw marketing data into clear, compelling, and actionable recommendations.
• Team Efficiency & Tech Evangelism: Lead initiatives to improve team productivity and marketing analytics best practices. Assist in preparing internal learning programs to level up commercial domain knowledge and help the team adopt new tools, methodologies, and platforms.
• Data Quality Assurance: Maintain a high bar for marketing data integrity, working alongside data engineering to ensure tracking, data quality, and governance standards are met.

• Proven experience in marketing analytics or a related field, ideally in gaming or digital products.
• Strong analytical and problem-solving skills, with the ability to frame and decompose complex business problems.
• Expertise in SQL and Python for data analysis and manipulation.
• Experience with A/B testing, experimentation design, and causal inference.
• Excellent communication and storytelling skills, with the ability to present insights to senior stakeholders.