E-Business Specialist/Data Scientist at Nestle

The key role of the Data and Analytics Manager is to effectively manage and develop data and analytics capabilities within Nestle ESAR region centred on providing insights and aiding in business decision making.

Responsibilities:

Strategic function: 

• Drive and manage the Data and Analytics strategy to provide the ESAR market.
• Develop targeted and contextual consumer-centric data products.
• Drive insights from consolidated consumer data and store data to support CCSD, sales and marketing decisions with respect to category planning, accurate customer demand-specific forecasting through multiple sales channels and enhancing decision-making specific to product mix and in-store space allocation.

Product Management and Data Operations:

• Drive the strategy, vision and governance for the Data and Analytics function.
• Develop data governance frameworks for the creation, maintenance, and integration of data to optimize data integrity and availability.
• Identify, set-up and deploy tools and technologies for data integration and interoperability. 
• Analysis of internal and external data to build data-driven business insights and high impact data models to generate significant business value.

Stakeloder Management:

• Build and maintain strategic relationships/partnerships with the relevant stakeholders at the Global, Zone and regional levels. 

• Work with stakeholders throughout the organisation to identify opportunities for leveraging company data to drive business solutions. 

People Management: 

• Lead a team of Data Engineers, Analysts, Architects and Data scientists to design and build data solutions for data acquisition, pre-processing, exploration, model construction, evaluation, and deployment.

Finance Management: 

• Contribute to compiling of the Data and Analytics budget and support budgeting for other BUs. 

Requirements: 

• Degree in Computer Science/Statistics/Mathematics/Engineering/Data Science /Informatics or related (Must Have). 
• Post graduate degree preferred. (Important). 
• Certificate in Microsoft Azure Technology (Optional) 
• Certificate in BI tools advantageous (Power BI/Tableau or related) (Optional) 

Experience: 

• A minimum of 5 -8 years’ work experience, in a technology related environment.
• 5 years data analytics or business intelligence experience. 
• Knowledge of data warehousing and analytics. 
• Knowledge of BI tools, concepts, architecture, and decision support concepts. 
• Knowledge of ETL and data analysis with a focus on data integrity. 
• Extensive expertise in data modelling, both logical and physical. 
• Strong project management and team management skills. 
• Experience working with Data Lake or unstructured data. 
• Experience working with Power BI platform. 
• Experience working with SQL Server platform. 
• Solid understanding of data security and privacy technologies. 
• Experience in FMCG/ Supply Chain / Retail /Marketing/Sales & eCommerce/Banking advantageous.