Suntory Beverage & Food strives to be the most locally beloved beverage company in every market we serve. Guided by our founding principles of "Growing for Good," "Yatte Minahare" (the spirit of bold ambition), and "Giving Back to Society", we pursue sustainable growth, bold innovation, and meaningful social impact. Across the Asia Pacific region, we proudly offer trusted brands including Ribena®, Lucozade Sport™, BRAND'S® Essence of Chicken, Tea+, BOSS Coffee, V Energy - delivering quality products that honor our commitment to harmony with people and nature.

Position Overview

We are seeking a highly motivated Data Analyst / Data Science Intern to join the Data & Digital team at Suntory Beverage & Food. In this role, you will work closely with Data Product Managers and the Head of Data & Analytics to co-create data-driven solutions that generate measurable business value particularly in Revenue Growth Management (RGM), People & Culture (P&C) and Supply Chain analytics.

This is not just a technical internship. The successful candidate will demonstrate strong business acumen and a problem-solving mindset, contributing to the design, ideation, and implementation of analytics products that directly support commercial and operational decision-making.

This is a 3-6months internship position.

Key Responsibilities

1. Business Partnership & Problem Definition

Collaborate daily with Data Product Managers, business stakeholders, and cross-functional teams to understand and frame business problems.
Translate commercial challenges in RGM (e.g., promo effectiveness, pricing elasticity) and Supply Chain (e.g., demand forecasting, inventory optimization) into analytics use-cases.
Support the development of product roadmaps and contribute to a value-centric analytics backlog.

2. Data Analysis & Solution Development

Perform exploratory data analysis to derive insights and generate hypotheses.
Build and test forecasting models (time series, regression, etc.) and other ML algorithms to solve business problems.
Assist in designing dashboards and visualizations that translate complex outputs into intuitive decision tools.

3. Product Thinking & Innovation

Contribute to ideation of new data products and enhancements to existing analytics tools.
Assist the Head of Data & Analytics in scanning for emerging trends, new data sources, and innovative methodologies.
Participate in brainstorming and cross-functional workshops to drive analytics adoption and business experimentation.

Preferred Qualifications

Education:
- Final year undergraduate or early-stage master’s student in Business Analytics, Statistics, Computer Science, Operations Research, or related field.
- Prior experience in a functioning business, sector-agnostic will be highly preferred and valued.
Technical Skills:
- Proficient in Python, SQL, and time series forecasting libraries (e.g., Prophet, ARIMA, scikit-learn).
- Experience with Power BI or Tableau for dashboard development.
- Familiarity with ML lifecycle and exploratory data analysis (EDA).
- Cloud experience (AWS/GCP) is a plus.
Business & Communication Skills:
- Strong analytical thinking with a practical understanding of business levers.
- Clear communicator who can explain technical results to non-technical stakeholders.
- Passionate about using data to drive decisions in real business settings.

What You Will Gain

Hands-on exposure to real-world analytics projects in the FMCG sector.
Mentorship from senior analytics leaders and collaboration with cross-functional product squads.
Opportunity to contribute to enterprise-wide transformation efforts through analytics and data science.

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