Senior Manager, Mobile Marketing Analytics
Activision
Senior Manager, Mobile Marketing Analytics
Job Description
Job Title: Senior Manager – Mobile Marketing AnalyticsDepartment: Global AnalyticsLocation: Santa Monica, CAYour MissionOur Global Analytics team is seeking a technically skilled and strategically minded Senior Manager of Mobile Marketing Analytics to support Call of Duty: Mobile. This role is central to driving our mobile growth strategy by leveraging end-to-end marketing data infrastructure and advanced analytics to aid in optimization of all user acquisition (UA) campaign activities within our Growth team and investment across our broader Mobile Marketing org. You will work at the intersection of Marketing, Engineering, and Analytics, owning the mobile marketing data pipeline – from ingestion to insight.Priorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:Own and manage the end-to-end mobile marketing data pipeline, including ETL processes, data integration from MMPs (e.g., AppsFlyer, Adjust, Singular, etc), 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 across our Growth function – LTV, retention, and monetization.Build and optimize marketing dashboards and reporting systems in BI tools (e.g., Tableau, Looker) to track cohorted KPIs such as CPI, ROAS, Retention, conversion rates, and attribution accuracy.Directly manage a small team of BI Analysts supporting our Growth & Mobile Marketing organization. Collaborate with Data Scientists and Analytics Engineers.Partner with Central Data Engineering teams to ensure scalable, clean, and reliable data infrastructure that supports analytics workflows and campaign automation.Implement and evaluate UA attribution methodologies (e.g., multi-touch, probabilistic modeling, MMM) in a post-IDFA world, while owning compliance & data privacy flows.Develop a scalable media measurement data pipeline, A/B testing frameworks, and incrementality studies to guide strategic decisions on budget allocation and creative optimization.Provide clear and actionable insights to senior stakeholders across Growth and Mobile Marketing teams.Communicate complex analyses and insights to senior stakeholders with clarity and precision.Player ProfileMinimum Requirements:6-10+ years of experience in mobile marketing analytics, data science, or data engineering with a heavy focus on mobile user acquisition and marketing data.Deep understanding of mobile marketing ecosystems, including ad networks, DSPs, MMPs (e.g., Appsflyer, Adjust), data pipeline tools (e.g., Airflow, dbt, BigQuery, Redshift, Snowflake), and data privacy regulations (e.g., ATT, GDPR, RTBF, CCPA).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 with the ability to present 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.Extra Points:Experience in mobile gaming, especially free-to-play titles.Can communicate in MandarinFamiliarity 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.Our WorldAt Activision, we strive to create the most iconic brands in gaming and entertainment. We’re driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our “press start” is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences.
Locations
- Santa Monica, California, United States of America
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
160,000 - 220,000 USD / yearly
Source: grok estimate
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- mobile marketing analyticsintermediate
- data scienceintermediate
- data engineeringintermediate
- mobile user acquisitionintermediate
- marketing dataintermediate
- mobile marketing ecosystemsintermediate
- ad networksintermediate
- DSPsintermediate
- MMPs (e.g., Appsflyer, Adjust)intermediate
- data pipeline tools (e.g., Airflow, dbt, BigQuery, Redshift, Snowflake)intermediate
- data privacy regulations (e.g., ATT, GDPR, RTBF, CCPA)intermediate
- SQLintermediate
- Pythonintermediate
- data visualization tools (e.g., Tableau, Looker, Power BI)intermediate
- marketing attribution methodologies (e.g., multi-touch, last-click, MMM)intermediate
- cohort performance forecastingintermediate
- managing junior analysts/engineersintermediate
- leading cross-functional data projectsintermediate
- communication skillsintermediate
- presenting insights to non-technical audiencesintermediate
- data warehouse managementintermediate
- CI/CD processes for analytics infrastructureintermediate
- building ML models for UA optimization or LTV predictionintermediate
- mobile marketingintermediate
- marketing analyticsintermediate
- google adsintermediate
- data pipelineintermediate
- mandarinintermediate
- dashboardsintermediate
- tableauintermediate
- data integrationintermediate
- data modelsintermediate
- data visualization toolsintermediate
- dbtintermediate
- dspsintermediate
- dspintermediate
- data warehouseintermediate
- sqlintermediate
- mlintermediate
- networksintermediate
- data privacyintermediate
- proficiency in sqlintermediate
- bigqueryintermediate
- bi toolsintermediate
- etl processesintermediate
- multi-touchintermediate
- workflowsintermediate
- pythonintermediate
- redshiftintermediate
- computer scienceintermediate
- power biintermediate
Required Qualifications
- 6-10+ years of experience in mobile marketing analytics, data science, or data engineering with a heavy focus on mobile user acquisition and marketing data. (experience, 10 years)
- Deep understanding of mobile marketing ecosystems, including ad networks, DSPs, MMPs (e.g., Appsflyer, Adjust), data pipeline tools (e.g., Airflow, dbt, BigQuery, Redshift, Snowflake), and data privacy regulations (e.g., ATT, GDPR, RTBF, CCPA). (experience)
- Strong proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Looker, Power BI). (experience)
- Experience with marketing attribution methodologies (e.g., multi-touch, last-click, MMM) and cohort performance forecasting. (experience)
- Prior experience managing junior analysts/engineers and leading cross-functional data projects. (experience)
- Excellent communication skills with the ability to present insights to non-technical audiences and senior leadership. (experience)
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering). Master’s preferred. (degree)
Preferred Qualifications
- Experience in mobile gaming, especially free-to-play titles. (experience)
- Can communicate in Mandarin (experience)
- Familiarity with data warehouse management and CI/CD processes for analytics infrastructure. (experience)
- Hands-on experience building ML models for UA optimization or LTV prediction. (experience)
- Prior experience leading cross-functional data projects or managing junior analysts/engineers. (experience)
Responsibilities
- Own and manage the end-to-end mobile marketing data pipeline, including ETL processes, data integration from MMPs (e.g., AppsFlyer, Adjust, Singular, etc), 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 across our Growth function – LTV, retention, and monetization.
- Build and optimize marketing dashboards and reporting systems in BI tools (e.g., Tableau, Looker) to track cohorted KPIs such as CPI, ROAS, Retention, conversion rates, and attribution accuracy.
- Directly manage a small team of BI Analysts supporting our Growth & Mobile Marketing organization. Collaborate with Data Scientists and Analytics Engineers.
- Partner with Central Data Engineering teams to ensure scalable, clean, and reliable data infrastructure that supports analytics workflows and campaign automation.
- Implement and evaluate UA attribution methodologies (e.g., multi-touch, probabilistic modeling, MMM) in a post-IDFA world, while owning compliance & data privacy flows.
- Develop a scalable media measurement data pipeline, A/B testing frameworks, and incrementality studies to guide strategic decisions on budget allocation and creative optimization.
- Provide clear and actionable insights to senior stakeholders across Growth and Mobile Marketing teams.
- Communicate complex analyses and insights to senior stakeholders with clarity and precision.
Tags & Categories
Senior Manager, Mobile Marketing Analytics
Activision
Senior Manager, Mobile Marketing Analytics
Job Description
Job Title: Senior Manager – Mobile Marketing AnalyticsDepartment: Global AnalyticsLocation: Santa Monica, CAYour MissionOur Global Analytics team is seeking a technically skilled and strategically minded Senior Manager of Mobile Marketing Analytics to support Call of Duty: Mobile. This role is central to driving our mobile growth strategy by leveraging end-to-end marketing data infrastructure and advanced analytics to aid in optimization of all user acquisition (UA) campaign activities within our Growth team and investment across our broader Mobile Marketing org. You will work at the intersection of Marketing, Engineering, and Analytics, owning the mobile marketing data pipeline – from ingestion to insight.Priorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:Own and manage the end-to-end mobile marketing data pipeline, including ETL processes, data integration from MMPs (e.g., AppsFlyer, Adjust, Singular, etc), 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 across our Growth function – LTV, retention, and monetization.Build and optimize marketing dashboards and reporting systems in BI tools (e.g., Tableau, Looker) to track cohorted KPIs such as CPI, ROAS, Retention, conversion rates, and attribution accuracy.Directly manage a small team of BI Analysts supporting our Growth & Mobile Marketing organization. Collaborate with Data Scientists and Analytics Engineers.Partner with Central Data Engineering teams to ensure scalable, clean, and reliable data infrastructure that supports analytics workflows and campaign automation.Implement and evaluate UA attribution methodologies (e.g., multi-touch, probabilistic modeling, MMM) in a post-IDFA world, while owning compliance & data privacy flows.Develop a scalable media measurement data pipeline, A/B testing frameworks, and incrementality studies to guide strategic decisions on budget allocation and creative optimization.Provide clear and actionable insights to senior stakeholders across Growth and Mobile Marketing teams.Communicate complex analyses and insights to senior stakeholders with clarity and precision.Player ProfileMinimum Requirements:6-10+ years of experience in mobile marketing analytics, data science, or data engineering with a heavy focus on mobile user acquisition and marketing data.Deep understanding of mobile marketing ecosystems, including ad networks, DSPs, MMPs (e.g., Appsflyer, Adjust), data pipeline tools (e.g., Airflow, dbt, BigQuery, Redshift, Snowflake), and data privacy regulations (e.g., ATT, GDPR, RTBF, CCPA).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 with the ability to present 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.Extra Points:Experience in mobile gaming, especially free-to-play titles.Can communicate in MandarinFamiliarity 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.Our WorldAt Activision, we strive to create the most iconic brands in gaming and entertainment. We’re driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our “press start” is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences.
Locations
- Santa Monica, California, United States of America
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
160,000 - 220,000 USD / yearly
Source: grok estimate
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- mobile marketing analyticsintermediate
- data scienceintermediate
- data engineeringintermediate
- mobile user acquisitionintermediate
- marketing dataintermediate
- mobile marketing ecosystemsintermediate
- ad networksintermediate
- DSPsintermediate
- MMPs (e.g., Appsflyer, Adjust)intermediate
- data pipeline tools (e.g., Airflow, dbt, BigQuery, Redshift, Snowflake)intermediate
- data privacy regulations (e.g., ATT, GDPR, RTBF, CCPA)intermediate
- SQLintermediate
- Pythonintermediate
- data visualization tools (e.g., Tableau, Looker, Power BI)intermediate
- marketing attribution methodologies (e.g., multi-touch, last-click, MMM)intermediate
- cohort performance forecastingintermediate
- managing junior analysts/engineersintermediate
- leading cross-functional data projectsintermediate
- communication skillsintermediate
- presenting insights to non-technical audiencesintermediate
- data warehouse managementintermediate
- CI/CD processes for analytics infrastructureintermediate
- building ML models for UA optimization or LTV predictionintermediate
- mobile marketingintermediate
- marketing analyticsintermediate
- google adsintermediate
- data pipelineintermediate
- mandarinintermediate
- dashboardsintermediate
- tableauintermediate
- data integrationintermediate
- data modelsintermediate
- data visualization toolsintermediate
- dbtintermediate
- dspsintermediate
- dspintermediate
- data warehouseintermediate
- sqlintermediate
- mlintermediate
- networksintermediate
- data privacyintermediate
- proficiency in sqlintermediate
- bigqueryintermediate
- bi toolsintermediate
- etl processesintermediate
- multi-touchintermediate
- workflowsintermediate
- pythonintermediate
- redshiftintermediate
- computer scienceintermediate
- power biintermediate
Required Qualifications
- 6-10+ years of experience in mobile marketing analytics, data science, or data engineering with a heavy focus on mobile user acquisition and marketing data. (experience, 10 years)
- Deep understanding of mobile marketing ecosystems, including ad networks, DSPs, MMPs (e.g., Appsflyer, Adjust), data pipeline tools (e.g., Airflow, dbt, BigQuery, Redshift, Snowflake), and data privacy regulations (e.g., ATT, GDPR, RTBF, CCPA). (experience)
- Strong proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Looker, Power BI). (experience)
- Experience with marketing attribution methodologies (e.g., multi-touch, last-click, MMM) and cohort performance forecasting. (experience)
- Prior experience managing junior analysts/engineers and leading cross-functional data projects. (experience)
- Excellent communication skills with the ability to present insights to non-technical audiences and senior leadership. (experience)
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering). Master’s preferred. (degree)
Preferred Qualifications
- Experience in mobile gaming, especially free-to-play titles. (experience)
- Can communicate in Mandarin (experience)
- Familiarity with data warehouse management and CI/CD processes for analytics infrastructure. (experience)
- Hands-on experience building ML models for UA optimization or LTV prediction. (experience)
- Prior experience leading cross-functional data projects or managing junior analysts/engineers. (experience)
Responsibilities
- Own and manage the end-to-end mobile marketing data pipeline, including ETL processes, data integration from MMPs (e.g., AppsFlyer, Adjust, Singular, etc), 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 across our Growth function – LTV, retention, and monetization.
- Build and optimize marketing dashboards and reporting systems in BI tools (e.g., Tableau, Looker) to track cohorted KPIs such as CPI, ROAS, Retention, conversion rates, and attribution accuracy.
- Directly manage a small team of BI Analysts supporting our Growth & Mobile Marketing organization. Collaborate with Data Scientists and Analytics Engineers.
- Partner with Central Data Engineering teams to ensure scalable, clean, and reliable data infrastructure that supports analytics workflows and campaign automation.
- Implement and evaluate UA attribution methodologies (e.g., multi-touch, probabilistic modeling, MMM) in a post-IDFA world, while owning compliance & data privacy flows.
- Develop a scalable media measurement data pipeline, A/B testing frameworks, and incrementality studies to guide strategic decisions on budget allocation and creative optimization.
- Provide clear and actionable insights to senior stakeholders across Growth and Mobile Marketing teams.
- Communicate complex analyses and insights to senior stakeholders with clarity and precision.
Tags & Categories