Data Analyst / Data Science Intern

Downtown Core, S00, SG, Singapore

Job Description

Requisition ID:

10792

Who We Are



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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Job Detail

  • Job Id
    JD1640911
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Internship
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Downtown Core, S00, SG, Singapore
  • Education
    Not mentioned