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(TM), 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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