Marketing Intelligence & Advanced Analytics Manager
Suntory →Bangkok
Estimated range. Confirm compensation with the employer.
Bangkok
Estimated range. Confirm compensation with the employer.
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Listing record updated: October 29, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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The Marketing Intelligence & Advanced Analytics Manager at Suntory Beverage & Food leads data-driven business and customer growth across multiple markets. The role develops business intelligence, advanced analytics, data modelling, and actionable insights across CRM, customer, commercial, e-commerce, and digital performance, translating complex data into KPIs, analytical frameworks, dashboards, models, and strategic recommendations.
The position partners with Marketing, CRM, E-commerce, Digital, Commercial, Data, and IT teams to ensure effective use of data and continuous improvement of analytics capabilities, data quality, and measurement standards. Key focus areas include MMM, incrementality, attribution, media effectiveness, pricing/promotion analysis, predictive modelling, and e-commerce/digital analytics across marketplaces, Brand.com, and social commerce.
Lead development and enhancement of dashboards and analytical tools across CRM, Customer, Commercial, E-commerce, and Digital performance
Lead advanced analytics and modelling including MMM, incrementality, attribution, and media effectiveness
Apply statistical, correlation, regression, segmentation, basket, price, and promotion analysis across sales, customer, research, and digital data
Translate data and analytics into strategic insights, business implications, and growth opportunities
Lead e-commerce and digital analytics across marketplaces, Brand.com, and social commerce to identify growth opportunities
Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, Marketing Analytics, or related field
5-8+ years of experience in data analytics, customer analytics, CRM analytics, data science, or related field
Proven experience in data analytics and predictive modelling, preferably within FMCG, retail, e-commerce, loyalty, financial services, telecommunications, or other consumer businesses
Strong SQL skills and experience working with large datasets
Experience with BI/visualization tools such as Power BI, Tableau, or Looker
Experience with Python or R for statistical analysis and predictive modelling
Experience working with CRM, CDP, GA4, marketing platforms, or other customer data platforms
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