📌 Core Information
🔹 Job Title: Analytics Manager - Marketing Analytics
🔹 Company: Zynga
🔹 Location: Austin, TX & Toronto, Canada
🔹 Job Type: On-site
🔹 Category: Computer Games
🔹 Date Posted: April 11, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site (with potential for hybrid)
🚀 Job Overview
Key aspects of this role include:
- Leading a team of analysts and data scientists to identify opportunities for improvement in marketing functions
- Analyzing data, generating reports, and delivering actionable strategic recommendations to enhance audience growth
- Collaborating with product/marketing leaders to optimize marketing campaigns and maximize ROI
- Developing innovative tools using a modern tech stack, including Redshift, Databricks, PySpark, Airflow, and Tableau
- Mentoring team members and fostering career growth within the team
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to manage multiple projects simultaneously.
📋 Key Responsibilities
✅ Work with large amounts of data to find and lead opportunities to improve the investment efficiency
✅ Analyze and optimize marketing campaigns across multiple channels, leveraging data to drive performance improvements and maximize ROI
✅ Establish new measurement frameworks, including Incrementality and MMMs (Marketing Mix Models)
✅ Use a modern tech stack, including Redshift, Databricks, PySpark, Airflow, and Tableau, to develop innovative tools
✅ Technically engage with analysts, data scientists, and game teams to provide data-driven insights and guidance with strong analytical and problem-solving skills
✅ Bolster customer trust and build technical knowledge through execution of ad hoc analyses of high business priority
✅ Translate functional requirements into technical solutions to business challenges
✅ Collaborate with partner teams to define areas of opportunity and set priorities
✅ Supervise the larger technical direction of projects
✅ Develop talent and steer career growth within the team
ASSUMPTION: This role requires a balance of technical expertise, leadership skills, and the ability to work effectively with cross-functional teams.
🎯 Required Qualifications
Education: Bachelor's degree in Computer Science, Math, Statistics, Economics, or other quantitative fields; Master's or PhD preferred
Experience: 5+ years of work experience in data science, machine learning, or analytics roles; 1+ years of work experience in people management
Required Skills:
- Demonstrated experience with predictive modeling, statistics, experimental design, optimization, and data visualization
- Proven experience in building and maintaining strong relationships with stakeholders, effectively managing communication and expectations to drive successful project outcomes
- Excellent presentation and interpersonal skills; comfortable explaining technical topics to non-technical users
- Strong understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
- Domain knowledge in user acquisition, product marketing, and app store optimization; familiarity with privacy frameworks like ATT
- Strong experience in SQL and Python; Adept in at least one visualization tool such as Tableau
Preferred Skills:
- Experience with Redshift, Databricks, PySpark, Airflow, and Tableau
- Familiarity with gaming industry trends and analytics
ASSUMPTION: Candidates should have a strong foundation in data analysis and visualization, as well as experience managing teams and collaborating with stakeholders.
💰 Compensation & Benefits
Salary Range: $120,000 - $160,000 per year (based on industry standards for a mid-level analytics manager in the gaming industry)
Benefits:
- Health, dental, and vision insurance
- 401(k) matching
- Paid time off and holidays
- Employee stock purchase plan
- Gaming perks and discounts
Working Hours: Full-time, typically Monday-Friday, with some flexibility for remote work
ASSUMPTION: Salary range is estimated based on industry standards for a mid-level analytics manager in the gaming industry. Actual salary may vary based on experience and performance.
📌 Applicant Insights
🔍 Company Context
Industry: Computer Games
Company Size: 1,001-5,000 employees
Founded: 2007
Company Description:
- Zynga is a global leader in interactive entertainment with a mission to connect the world through games
- The company has a portfolio of popular game franchises, including CSR Racing, Dragon City, Empires & Puzzles, FarmVille, Golf Rival, Hair Challenge, Harry Potter: Puzzles & Spells, High Heels!, Merge Dragons!, Merge Magic!, Monster Legends, Toon Blast, Top Eleven, Toy Blast, Two Dots, Words With Friends, and Zynga Poker
- Zynga is a wholly-owned label of Take-Two Interactive Software, Inc.
Company Specialties:
- Social games
- Mobile gaming
- Casual games
- Mid-core games
Company Website: https://www.zynga.com/
ASSUMPTION: Zynga's large size and diverse portfolio of games provide ample opportunities for career growth and learning.
📊 Role Analysis
Career Level: Mid-level management
Reporting Structure: This role reports directly to the Senior Manager of Marketing Analytics and oversees a team of analysts and data scientists
Work Arrangement: On-site with potential for hybrid work
Growth Opportunities:
- Advancement to a senior-level role within the marketing analytics team
- Expansion into other areas of the business, such as game development or product management
- Potential to lead larger teams or projects as the company continues to grow
ASSUMPTION: This role offers opportunities for career growth within the marketing analytics team and potentially across other areas of the business.
🌍 Location & Work Environment
Office Type: Modern, collaborative office spaces with gaming-themed decor
Office Location(s): Austin, TX & Toronto, Canada
Geographic Context:
- Austin, TX: Known for its vibrant tech industry, live music scene, and outdoor activities
- Toronto, Canada: A multicultural city with a thriving tech industry, diverse neighborhoods, and a strong arts and culture scene
Work Schedule: Full-time, typically Monday-Friday, with some flexibility for remote work
ASSUMPTION: Both Austin and Toronto offer vibrant, multicultural environments with strong tech industries, providing ample opportunities for networking and professional growth.
💼 Interview & Application Insights
Typical Process:
- Phone or video screen with a member of the HR team
- Technical interview with a member of the marketing analytics team
- On-site or video interview with the hiring manager and other team members
- Final interview with the Senior Manager of Marketing Analytics
Key Assessment Areas:
- Technical skills in data analysis, visualization, and modeling
- Problem-solving and critical thinking abilities
- Communication and presentation skills
- Leadership and team management skills
- Understanding of marketing metrics and KPIs
Application Tips:
- Highlight your experience with predictive modeling, statistics, experimental design, optimization, and data visualization
- Include examples of your ability to analyze and optimize marketing campaigns
- Demonstrate your understanding of marketing metrics and KPIs, as well as your familiarity with privacy frameworks like ATT
- Showcase your ability to manage teams and collaborate with stakeholders
ATS Keywords: Predictive modeling, statistics, experimental design, optimization, data visualization, marketing metrics, campaign optimization, Lifetime Value (LTV) modeling, incrementality analysis, user acquisition, product marketing, app store optimization, SQL, Python, Tableau, Redshift, Databricks, PySpark, Airflow
ASSUMPTION: Zynga's application process is designed to assess both technical skills and cultural fit, with a focus on problem-solving, communication, and leadership abilities.
🛠️ Tools & Technologies
- Redshift
- Databricks
- PySpark
- Airflow
- Tableau
- SQL
- Python
ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role.
👔 Cultural Fit Considerations
Company Values:
- Connecting the world through games
- Innovation and creativity
- Collaboration and teamwork
- Customer focus
- Integrity and accountability
Work Style:
- Fast-paced and dynamic
- Data-driven and analytical
- Collaborative and team-oriented
- Results-focused and goal-oriented
Self-Assessment Questions:
- Do you thrive in a fast-paced, dynamic environment?
- Are you comfortable working with large amounts of data and using it to drive decision-making?
- Do you enjoy collaborating with teams and working together to achieve common goals?
- Are you results-focused and goal-oriented, with a strong desire to succeed?
ASSUMPTION: Zynga's culture values innovation, collaboration, and a data-driven approach to decision-making, with a focus on connecting the world through games.
⚠️ Potential Challenges
- Managing a team of analysts and data scientists with varying levels of experience and expertise
- Balancing the need for data-driven decision-making with the need to move quickly and iterate on marketing campaigns
- Navigating a large, complex organization with multiple stakeholders and competing priorities
- Adapting to changes in the gaming industry and evolving consumer behaviors
ASSUMPTION: These challenges require strong leadership, communication, and project management skills, as well as the ability to adapt and pivot in response to changing circumstances.
📈 Similar Roles Comparison
- Analytics Manager (Marketing) vs. Analytics Manager (Product): Marketing-focused role focuses on user acquisition and campaign optimization, while product-focused role focuses on in-game analytics and player behavior
- Gaming industry trends and analytics: Gaming industry is dynamic and fast-panging, with a strong focus on data-driven decision-making and continuous innovation
- Career path comparison: Analytics Manager role can lead to senior-level roles within marketing analytics or expansion into other areas of the business, such as game development or product management
ASSUMPTION: This role offers unique opportunities and challenges specific to the gaming industry and marketing analytics function.
📝 Sample Projects
- Developing a predictive model to identify high-value users and optimize marketing spend
- Analyzing user acquisition campaigns to optimize cost per acquisition and return on ad spend
- Establishing a new measurement framework, such as Incrementality or MMMs, to evaluate marketing effectiveness and maximize ROI
ASSUMPTION: These projects demonstrate the range of responsibilities and opportunities available in this role.
❓ Key Questions to Ask During Interview
- What are the biggest challenges facing the marketing analytics team currently, and how can this role help address them?
- How does this role collaborate with other teams within Zynga, such as game development or product management?
- What opportunities are there for career growth and development within the marketing analytics team and across the organization?
- How does Zynga support work-life balance for its employees, particularly in a hybrid or remote work arrangement?
- What are the most important qualities and skills for success in this role, according to the hiring manager?
ASSUMPTION: These questions demonstrate your interest in the role and provide valuable insights into the company culture and work environment.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through Zynga's careers page
- Tailor your resume to highlight your experience with predictive modeling, statistics, experimental design, optimization, and data visualization
- Write a cover letter explaining your interest in the role and how your skills and experience make you a strong fit
- Prepare examples of your ability to analyze and optimize marketing campaigns, as well as your understanding of marketing metrics and KPIs
- Follow up with the hiring manager one week after submission to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
