Principal Data Analyst

Role Overview

As a Principal Data Analyst, you will be a strategic thought leader and technical expert within the analytics organization, setting the bar for analytical excellence, pioneering new methodologies, and shaping the long-term data strategy across one or more studios.

What You Will Do

You will define and shape the analytics strategy for one or more games, aligning analytical investment with long-term business objectives, and drive them from conception to measurable business outcomes.

Why It Might Be a Fit

You will influence senior and executive leadership through data-driven storytelling, shifting organizational strategy in line with new findings and insights, and drive a culture of data-informed decision-making across Zynga.

Requirements

• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA, or PhD strongly preferred
• 8+ years of work experience in data science or analytics roles, with progressive increases in scope and impact
• Fluent in SQL; strong programming skills in Python; adept in atleast one visualization tools such as Tableau, Looker, or equivalent
• Deep expertise in statistics, experimental design, causal inference, machine learning, and/or deep learning — with a track record of production-scale deployment
• Extensive experience analyzing large datasets
• Proven track record of leading complex, ambiguous, cross-functional initiatives from problem framing through production impact, with minimal direction
• Demonstrated ability to influence senior leadership and drive org-wide strategic change through data
• Experience mentoring and growing other data scientists and analysts
• Proven ability to define analytics strategy or build analytics capabilities from the ground up
• Exceptional written and oral communication skills — able to translate complex analysis into clear, actionable narratives for executive audiences
• Ability to operate with high autonomy in ambiguous, complex problem spaces with minimal direction
• Ability to collaborate effectively across disciplines — engineering, product, design, marketing, and studio leadership — to deliver unambiguous business impact

Tagged as: Data Analysis