Data Analytics Specialist

**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.

**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
- 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 mínimal supervision
- Open to working in a global environment and with virtual teams
- Good customer facing skills