Lead, Ad Revenue & Analytics

Job summary

You will own the end-to-end analytics and optimization strategy for Zynga's advertising inventory to drive measurable revenue impact. This involves leading cross-functional initiatives, mentoring analysts, and partnering with data science to leverage ML and AI for improved ad performance.

Job details

Level Up Your Career with Zynga! 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. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Zynga is looking for a strategic, experienced, and intellectually curious Ad Revenue & Analytics Lead to join our world-class advertising team. In this role, you will own the end-to-end analytics and optimization strategy for Zynga's advertising inventory, challenging conventional thinking and driving measurable revenue impact across our portfolio of mobile games. This is a high-visibility, high-impact role that blends technical rigor with business leadership. You will drive cross-functional initiatives, mentor analysts, and translate complex data into strategies that move the business forward. What You'll Do Define and own the roadmap for key ad revenue initiatives that maximize revenue across Zynga's advertising inventory Lead complex, multi-stakeholder initiatives from ideation through rollout across our game portfolio Stay close to daily ad revenue performance, flagging anomalies, diagnosing shifts, and surfacing optimization opportunities, while keeping ad monetization leadership informed of trends and their business implications Lead the design and execution of complex A/B tests; translate findings into actionable strategies Collaborate with product and central analytics teams, driving alignment and shared ownership of ads revenue outcomes Partner with data science on ML and AI-powered models to improve ad targeting, pricing, and inventory optimization Mentor and provide technical and strategic guidance to junior analysts on the team What You Bring Bachelor’s degree in a quantitative field 5+ years of experience in a data-intensive analytics role Prior experience in mobile gaming or advertising is a big plus Expert-level SQL skills Proficiency in Python or R for data analysis, statistical modeling, and automation Advanced proficiency in Tableau or equivalent BI/dashboarding tools Familiarity with machine learning concepts and AI tools as applied to revenue analytics A self-starter who identifies problems, builds the case, and drives solutions to completion — without waiting for direction Proven ability to influence and align cross-functional teams Intellectual curiosity and a challenger mindset — unafraid to question assumptions and push for deeper insight Strong project management and prioritization skills in a fast-paced, deadline-driven environment Excellent written, verbal, and visual communication skills What We Offer You The pay range for this position in Ontario at the start of employment is expected to be between $96,400 and $130,660 per Year. The pay range for this position in California at the start of employment is expected to be between $118,900 and $150,760 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. Ontario only: The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

What you’ll do

You will own the end-to-end analytics and optimization strategy for Zynga's advertising inventory to drive measurable revenue impact. This involves leading cross-functional initiatives, mentoring analysts, and partnering with data science to leverage ML and AI for improved ad performance.

Requirements

The role requires a bachelor's degree in a quantitative field and at least 5 years of experience in a data-intensive analytics role. Expert-level SQL skills and proficiency in Python or R are essential, along with strong project management and communication abilities.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Basic life insurance
• Paid holidays
• Paid vacation
• Paid sick days
• Paid parental leave
• Compassionate leave
• Wellbeing programs
• Family planning support
• Commuter benefits
• Fitness reimbursements
• 401k plan
• Employee stock purchase program

Listed skills

• SQL · Preferred
• Python · Preferred
• Tableau · Preferred
• Data analysis · Preferred
• Machine learning · Preferred
• Project management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• R
• Tableau
• Data analysis
• Statistical modeling
• Automation
• Machine learning
• AI tools
• Revenue analytics
• Project management
• A/B testing
• Strategic planning
• Cross-functional leadership
• Mobile gaming
• Advertising
• Influencing Skills
• Intellectual Curiosity
• Self-Starter
• Ideation
• Ability To Meet Deadlines
• Strong Work Ethic
• Compassion
• Artificial Intelligence
• Data Analysis
• Basic Life Support (BLS) Certification
• Mental Health
• Disabilities
• R (Programming Language)
• Leadership
• Python (Programming Language)
• Machine Learning
• Project Management
• Apache Maven
• Phishing
• SQL (Programming Language)
• Statistical Modeling
• Tableau (Business Intelligence Software)
• Advertisement
• Prioritization
• Data Science

Job areas

• Data & Analytics
• Software
• Marketing
• Management & Leadership
• Technology
• Revenue Analyst
• Analytics Product Manager
• Research and Development Managers
• Marketing Managers

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