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About the role
Position Snapshot
Location: Petaling Jaya, Selangor, MY Company: Nestle Malaysia Full-timeBachelor’s Degree 6+ years of experience
Position Summary
Joining Nestlé means you are joining the largest Food and Beverage Company in the world. At our very core, we are a human environment – passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future. A Nestle career empowers you to make an impact locally and globally, as you are provided with the opportunity to make a mark and stand out, as long as you seek it. With Nestle, you are enabled and encouraged to grow not only as professionals, but also as people.
We are looking for a Business Intelligence Manager to drive sales performance by leveraging BI tools to deliver actionable insights, optimize reporting, and align data strategies with revenue goals.
A day in the life of a Business Intelligence Manager
Sales Division Cockpit:
Collect feedback and continuously improve report design and functionality
Create and enhance interactive reports and dashboards using Power BI Desktop and Service
Use DAX formulas and data modeling techniques to structure and analyze data
Translate business needs into technical solutions using Python, SQL, Power BI, Power Apps.
Commercial Data Foundation:
Build and maintain secure, scalable data pipelines and architectures
Ensure data quality and governance across platforms in Azure Data Factory and Databricks
Integrate new data sources
Collaborate with data scientists to deploy and monitor models.
Training & Development:
Lead training and change management for Power BI
Stakeholder Engagement:
Act as a bridge between Sales, IT, and business teams to align data strategies
Lead cross-functional initiatives and communicate progress to leadership
Facilitate discovery sessions to identify automation and AI opportunities
To ensure the development of Customer Strategy and JBP in line with the plans of the BU to deliver Sales and Market Share objectives by understanding the market, shopper behaviour and Customer strategy.
Technical Proficiency:
Strong command of SQL, relational and non-relational databases, and Python for data engineering and automation tasks.
Hands-on experience with ETL tools (e.g. Azure Data Factory, Talend, Informatica) and data orchestration frameworks.
Proficiency in data visualization tools, particularly Power BI, with the ability to design insightful, interactive dashboards.
What will make you successful
Bachelor's Degree in Business Administration, Marketing, Business Analytics, or any related field.
Minimum 6 years of commercial experience, preferably with good knowledge of Nestlé commercial and operations.
Sales and marketing analytics experience
FMCG or retail industry background
Ability to translate data insights into business strategies.
Skills required – Experience working with PowerBI, Azure Data Factory and other Analytics tools.
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