Senior Manager, Mobile Marketing Analytics

About the Role

Key Responsibilities

• Own and manage the end-to-end mobile marketing data pipeline, including ETL processes, data integration from MMPs (e.g., AppsFlyer, Adjust, Singular), and ingestion from UA platforms (e.g., Meta, Google Ads, DSP, TikTok).
• Design and maintain robust data models to support high-scale, low-latency marketing analytics use cases such as LTV, retention, and monetization.
• Build and optimize marketing dashboards and reporting systems in BI tools (e.g., Tableau, Looker) to track KPIs like CPI, ROAS, retention, conversion rates, and attribution accuracy.
• Directly manage a small team of BI Analysts supporting Growth & Mobile Marketing teams.
• Collaborate with Data Scientists and Analytics Engineers to support analytics workflows.
• Partner with Data Engineering teams to ensure scalable, clean, and reliable data infrastructure supporting campaign automation.
• Implement and evaluate UA attribution methodologies (e.g., multi-touch, probabilistic modeling, MMM) while ensuring compliance and data privacy.
• Develop scalable media measurement data pipelines, A/B testing frameworks, and incrementality studies to inform strategic decisions.
• Provide clear, actionable insights to senior stakeholders and communicate complex analyses effectively.

Requirements

• 6-10+ years of experience in mobile marketing analytics, data science, or data engineering with a focus on mobile user acquisition and marketing data.
• Deep understanding of mobile marketing ecosystems, including ad networks, DSPs, MMPs (e.g., Appsflyer, Adjust), and data pipeline tools (e.g., Airflow, dbt, BigQuery, Redshift, Snowflake).
• Strong proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Looker, Power BI).
• Experience with marketing attribution methodologies (e.g., multi-touch, last-click, MMM) and cohort performance forecasting.
• Prior experience managing junior analysts/engineers and leading cross-functional data projects.
• Excellent communication skills for presenting insights to non-technical audiences and senior leadership.
• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering); Master's preferred.

Nice to Have

• Experience in mobile gaming, especially free-to-play titles.
• Ability to communicate in Mandarin.
• Familiarity with data warehouse management and CI/CD processes for analytics infrastructure.
• Hands-on experience building ML models for UA optimization or LTV prediction.
• Prior experience leading cross-functional data projects or managing junior analysts/engineers.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering).
• Master's degree preferred.

Benefits & Perks

• Comprehensive benefits including medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, life and AD&D insurance, disability insurance.
• 401(k) with company match, tuition reimbursement, charitable donation matching.
• Paid holidays, vacation, sick time, floating holidays, parental leave, and other leave options.
• Mental health & wellbeing programs, fitness programs, free and discounted games, and voluntary benefits like legal services and rental insurance.
• Potential relocation assistance if required.