Marketing Intelligence & Advanced Analytics Manager

Who We Are

About your role

Play a key role in driving data-driven business and customer growth across multiple markets. You will lead the development of business intelligence, advanced analytics, data modelling, and actionable insights across CRM, customer, commercial, e-commerce, and digital performance. The role will translate complex data and business questions into meaningful KPIs, analytical frameworks, dashboards, models, and strategic recommendations to identify growth opportunities, optimize customer and commercial performance, and support data-driven decision-making. You will work closely 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.

What You'll Do

Business Intelligence and Data Visualization

• Lead the development and continuous enhancement of dashboards and analytical tools across CRM, Customer, Commercial, E-commerce, and Digital performance to review holistic business impacts and recommendations
• Translate business objectives and requirements into clear analytical frameworks, meaningful KPIs, correlations, and intuitive dashboard solutions
• Elevate performance reporting from descriptive analytics to diagnostic and actionable insights, highlighting key drivers, business implications, and opportunities
• Drive dashboard adoption by providing user training, guidelines, and tutorials to ensure stakeholders can effectively leverage data for decision-making

Data Modelling, Correlation & Advanced Analytics (AI, Machine Learning led)

• Lead advanced analytics and modelling to identify business drivers, customer insights, and commercial growth opportunities
• Strong specialization in MMM, incrementality, attribution and media effectiveness
• Apply statistical, correlation, regression, segmentation, basket, price, and promotion analysis across sales, customer, research, and digital data
• Evaluate pricing and promotional effectiveness, including price elasticity, incremental sales, ROI, and optimization opportunities
• Analyze basket and purchase patterns to identify product affinities, cross-selling opportunities, and customer behavior
• Develop predictive models for customer propensity, churn/lapse, purchase frequency, and customer value where appropriat
• Translate analytical findings into actionable recommendations while clearly communicating model assumptions, limitations, and business implications

Insight Generation & Business Planning

• Lead the translation of data and analytics into strategic insights, business implications, and growth opportunities
• Identify key business challenges, performance drivers, and opportunities to inform commercial and customer strategies
• Develop data-driven recommendations and translate insights into actionable CRM, marketing, e-commerce, channel, promotion, and customer plans
• Frame strategic business questions into clear hypotheses and analytical approaches to enable fact-based decision-marking
• Evaluate the impact of initiatives and continuously optimize strategies based on performance, learnings, and evolving business needs

Data & Analytics Development

• Partner with Data and IT teams to ensure the availability, quality, accessibility, and reliability of customer, transactional, and digital related data
• Define data and analytical requirements, data structures, metrics, and pipelines to support CRM, customer, commercial, e-commerce, and digital analytics
• Integrate and leverage data from CRM/CDP, GA4, transaction systems, campaign and media platforms, and other first-party data sources
• Monitor data quality and identify gaps, inconsistencies, and opportunities to improve data integrity, integration, and usability

E-Commerce & Digital Analytics

• Lead e-commerce and digital analytics across marketplaces, Brand.com, and social commerce to identify opportunities across SKU, pricing, promotion, customer, traffic, and channel performance
• Develop dashboards and analytical frameworks covering traffic, conversion, GMV, acquisition, repeat purchase, basket size, and customer value
• Integrate e-commerce, CRM, and customer data to understand cross-channel behavior and identify opportunities for cross-selling, personalization, and conversion
  Translate data into actionable insights and recommendations to drive conversion, retention, customer value, and GMV growth

What's in it for you

What You need to be successful

• A degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, Marketing Analytics, or a related field.
• 5-8+ years of experience in data analytics, customer analytics, CRM analytics, data science, or a 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 Python or R for statistical analysis and predictive modelling is a plus
• Experience with BI / visualization tools such as Power BI, Tableau, or Looker.
• Experience working with CRM, CDP, GA4, marketing platforms, or other customer data platforms is a plus
• Strong commercial acumen and ability to translate analytical findings into business actions.
• Strong communication and stakeholder management skills, with the ability to explain complex analytical concepts to non-technical stakeholders.

Our DEI Commitment

At Suntory, we recognize that diverse knowledge, perspectives, and backgrounds contribute to our collective success. We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals can bring their whole selves to work every day, regardless of race, color, religion, gender identity or expression, sexual orientation, disability, neurodiversity, or differing abilities, age, or any other protected characteristic.

Our recruitment and selection processes are designed to highlight what Suntory offers as an employer while allowing candidates to share their unique skills and experiences. We understand that career trajectories vary, and if you believe your experience/background can benefit our team, we encourage you to apply. We endeavor to make our interview process as inclusive as possible and offer reasonable accommodations as needed. Together, we can cultivate a workplace where everyone can thrive and propel our mission of Growing for Good.