Consultant Data & Responsible Insight

Company
Deloitte
Type
Fulltime
Location
Amsterdam
Sector
Consulting, Data/AI Engineer
Required language
Dutch, English
Website
https://deloi.tt/47v3Ebf

Description

Company Description

Make a difference by providing innovative thinking and responsible insights from data and technology. At Deloitte.

Job Description

With the focus on orchestrating data and providing advanced responsible insights, as a Consultant Data &Responsible Insight you’ll play a key role in supporting clients with designing and building these data solutions.

With your knowledge in the data domain, you understand both the business and technical perspective. Together with your colleagues, you work in setting up and refining robust data pipelines. All with the objective to ensure that data is reliable, and easy to use and maintain. 

Qualifications

Obviously you always look at topics from different perspectives and you learn every day and from each situation. But most importantly, be the true you. The one and only you. With your personal strengths, view of the world and unique personality. You need the following qualifications for the position of Consultant Data & Responsible Insight:

  • Completed a quantitatively-oriented university education, such as Econometrics, Informatics, Mathematics, Business Analytics, Data Science or a similar study;
  • You have graduated from a Dutch University and preferably already living In the Netherlands;
  • Affinity with performing analysis with programming such as SQL and/or Python;
  • Able to work well within a team and have a professional attitude towards the team and our clients.

Additional information

  • Puzzling with large datasets to identify business risks
  • Visualizing advanced data analysis results in dashboards and explain insights to clients;
  • Translating complex data requirements into analytical models;
  • Preparing and leading meetings, presentations and workshops with clients;
  • Setting up and improving data pipelines with built-in auditing, logging, and validation mechanisms to ensure data quality.
  • EY-SVG
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