Planning Analytics Lead – Central PPI Platform Heineken BV



Company Name / Department Heineken BV
Contact Person Cömert Mert
 Location Schipol
Optional remote work Hybrid: Min 2 day in the office
Travel expenses (own account or reimbursed by the company) Reimbursed by the company
Housing arranged by company No
Housing expenses (how much per month, own account or subsidized by the company) Own account
Internship compensation  €500,- per month
Study program Computer Engineering/Data Science
ESCF community


Start date

September, 2023


Company Description

Global Brewing Company from Netherlands with over 80000 employees.


Project Description

Project description:

Central PPI Platform is a tool or a platform that provides visibility into key performance metrics for business processes across an organization. The deliverables for a central platform for process performance indicators can include:

The tool should be able to process and aggregate data from multiple sources to provide an overview of the performance of various processes within the scope of planning capabilities.

The tool should be able to provide a variety of performance metrics, such as forecast modelling process, Supply planning sense check, Scheduling quality metrics and so on.

The tool should be able to present the performance metrics to users in an easy-to-understand and visually appealing way, such as dashboards, reports, and charts

    Goals of the project:

    Explore and connect the relationship between planning KPIs and the process performance metrics to lead proactive analysis and decision making.


      Providing valuable insights into the performance of key business processes across an organization. These insights can help teams make data-driven decisions, identify areas for improvement, and improve overall business performance.

      Essential student knowledge:

      Data science, machine learning, data modelling, data analytics, a programming language such as Python, Java Script, or C++.




      More information:  


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