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Internship - BI Developer

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Date: 26-Jul-2022

Location: Amsterdam, NL

Company: HEINEKEN

Internship - BI Developer

Your internship will be in the Digital & Technology Team (D&T) which is a relatively newly formed function that reports to the Managing Director. You will report into the Digital & Technology Manager and will join the team that focuses on Data & Analytics.

 

We are looking for an enthusiastic, mature and hands-on student in the final stage of their studies (IT, Econometrics, Data Science, Economics, and Business Administration) with a strong analytical profile and an interest in analytical storytelling. International experience is preferred. A strong personality and flexibility is required. Fluency in English is mandatory. During the internship, among other topics, you will focus on perfecting the user experience of our self-service analytical environment in PowerBI. This will involve communicating with the business and understanding the key improvement points of our reports and working on them with our Data & Analytics Team.

 

Your Work environment

Heineken Europe, Middle East and Africa Export & Global Duty Free is responsible for all 3rd party Export & License business in the EMEA region and for the Duty Free channels globally. The EMEA Export & GDF OpCo independently manages a large portfolio of brands lead by Heineken® and has a strategic role for the development of brands across multiple markets. The Headquarter is based in Amsterdam, and counts approximately 100 people.

 

Your Profile

All candidates should furthermore possess the following skills/characteristics:

 

· Structured work discipline

· Analytical

· Digitally savvy

· Enthusiastic and curious

· Team player

· Good communication skills

· Ability to be self-starting and work independently when and where needed

 

Must have:

· Microsoft Stack (specifically PowerBI, SharePoint & Teams) skills

· Affinity for UX/UI

· Ability to multitask

· Fluency in English

 

Added skill set but not mandatory to have:

· Basic understanding of data management process.

· Hands on experience in data visualisation tools such as Tableau, SAP Analytics Cloud

· Experience with Python and/or R

 


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