Position Snapshot
Location: 1 Powerhouse, Bandar Utama
Company: Nestlé Malaysia
Permanent
Bachelor’s Degree
5+ 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 Nestlé 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 Nestlé, you are enabled and encouraged to grow not only as professionals, but also as people.
We are looking for a Data Analytics Specialist to analyse large, complex datasets, create meaningful visualizations, and deliver insights that empower business teams to make informed decisions. The specialist will also play a significant role in supporting data engineering efforts, ensuring the availability of clean and reliable data through scalable pipelines and robust architectures. Additionally, the role includes experimenting with basic data science methods, such as predictive modelling, clustering, and classification, to uncover hidden patterns and future trends. This hybrid role requires strong technical expertise, a passion for storytelling with data, and the ability to collaborate effectively with business stakeholders and technical teams. The ideal candidate will be adaptable, curious, and capable of integrating analytics, engineering, and data science skills to maximize the value of the organization’s data assets.
A day in the life...
- Understand business challenges and business questions
- Data exploration to find patterns and insights to provide recommendations and instigate actions and decisions
- Build capability and ensure consistency of Insight generation methodologies to Business Analysts in category/ function
- Operationalizing or last mile enhancements to visual outputs and light statistical models leveraging global and local data assets and globally delivered products including machine learning capabilities
- Maintenance of last mile reporting applications or any local data leveraged in market/category
- Technical and business data curation of local assets in cataloguing tool
- Develop exploratory use cases and handoff with Global hub if governance decides to scale
- Delivery of analytics
- Uses relevant analytical techniques to increase and optimize customer and consumer experience, generate revenue, increase margin, eliminate operational costs and other business outcomes
- Gain efficiency by leveraging successfully industrialized analytical models that exploit Nestlé's data assets
- Supports other partners to deliver E2E business solutions (e.g. business domain experts, solution architects, data engineers, visualization experts etc.)
- Utilizes visualization techniques to clearly communicate the output of analytical processes (descriptive, diagnostic, predictive, prescriptive)
- Supports KPI/PPI measures discussions from analytical output
- Supports ad-hoc analytic processes and presents results in a clear manner
- Considers the cost benefit analysis between full automation and manual intervention in analytical E2E delivery
- Stakeholder engagement and analytics evangelisation
- Supports stakeholders on immediate team to identify opportunities for leveraging analytical techniques on top of data assets to drive business solutions
- Influences immediate team through presentation of analytically-based business recommendations
- Supports best practice sharing within local analytics community
- Supports data science community involvement
What will make you successful
- Bachelor’s degree or higher (Engineering/ Computer Science /Mathematics/Statistics preferred)
- Experience in cloud environments (AZURE, AWS, Google Cloud, etc.)
- Experience in programming language (Python, R and etc.)
- Experience in data visualization / Business Intelligence Tools e.g., MS Power BI
- Experience developing light analytical models to solve business problems
- Experience in using machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neutral networks, deep learning, optimization, etc
- Knowledge of advance analytics project methodologies like CRISP-DM
- Familiarity with “FMCG/ CPG” or “Retail” industry and applied analytics to scenarios in context of this domain
- Good visualization skills for creating dashboards, scorecards, reports and insights
- Good written and verbal communication skills
- Possess the ability to communicate complex results and insights to technical and non-technical audiences
- Ability to work with minimal supervision
- Open to working in a global environment and with virtual teams
- Good customer facing skills
