Position title
INTERNSHIP HR Data Science (Starting from September)
Description

Job Location: ​Luxembourg​

Luxembourg

Company description

Ferrero is a family-owned company with a truly progressive and global outlook and iconic brands such as Nutella®, Tic Tac®, Ferrero Rocher®, Raffaello®, Kinder Bueno® and Kinder Surprise®. As the love for our brands continues to grow, so too does our global reach. Represented in more than 50 countries, with products sold in more than 170, the Ferrero Group is loved by generations around the world. The secret to our global success? 38,767  dedicated employees who celebrate care and quality to craft a business, careers and brands we are proud of. Join us, and you could be one of them.

Diversity Statement

Ferrero is committed to building a diverse and inclusive culture in which all employees feel welcomed and appreciated and have the same opportunities. We believe all of our people are equally talented in their own way. In nurturing the curiosity and natural abilities of our employees, we provide them, generation after generation, the means to succeed personally and professionally, enabling them to craft their journey at Ferrero. The diversity of our talents is what makes our work environment multicultural, innovative and highly rewarding.

About the Role:

For our Ferrero HQ based in Luxembourg, we are currently looking for an intern to join our HR Data Science team who will report directly to the HR Data Science Manager within the Human Resources function and HRIS department.

Main Responsibilities:

In this position, you will work side by side with the HR Data Science team, get familiar with Ferrero HR topics, processes and systems​.

You will learn how to perform analysis on data availability and data quality​, working with the team on the worldwide adoption of existing BI tools within the HR&OI family​.
Moreover, you will support HR&OI professionals in the creation of ad hoc analysis​, training sessions delivery about Business Intelligence tools to HR&OI stakeholders and in activities dedicated to HR Data Science projects and initiatives (Descriptive and Predictive).​
You will also explore how to contribute to HR Dashboards' data catalogue preparation (KPI, Measures, Dimensions).

On top of that, your role will be to monitor the full alignment of the current existing BI Reports and Dashboards (SAP Bex, MS Power BI) with HR data source systems (SAP HR, SuccessFactors [Recruiting, Onboarding, Learning, Performance, Separation,…], Health & Safety tools, Organizational Charts)​.

Who we are looking for:

You will bring your educational background in Engineering, Information Technology, Mathematics or Data Science.

You are showing good analytical skills with attention to details.
Team player, you are demonstrating flexibility and proactivity with a collaborative approach.

On top of this, you will bring your proficiency in Microsoft Office (Word, Power Point, Excel [VLOOKUP, Pivot table]).
You are also familiar with BI tools (e.g. Power BI, SAP Bex or similar) and HR information systems, (e.g. SAP HR, SuccessFactors).

Finally, you are fluent in English.

Join our HQ in this amazing opportunity!

How to be successful in the role and at Ferrero:

Consumers, quality and care are at the heart of everything we do. So, to be successful at Ferrero, you’ll need to be just as consumer and product centric as we are - dedicated to crafting brilliant results for consumers around the world. 

How the process will look like

Your teammates will gather all requirements within our organization. Then, once priority has been discussed, you will decide as a team on the best solutions and architecture to meet these needs. In continuous increments and continuous communication between the team and stakeholders, you’re part of making data play an even more important (and understood) part withing Brand New Day.

 

Job Benefits

USD 64K - 106K *

Employment Type
Full-time
Beginning of employment
asap
Job Location
Luxembourg, L, LU
Working Hours
40
Base Salary
euro USD 64K - 106K *
Date posted
May 19, 2024
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