About this role
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" width="79" height="78"></span></span></p> <p><br><br></p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt;text-align:center"><span style="font-size:12.0pt;font-family:Aptos;color:#002060"> </span><span style="font-size:12.0pt;font-family:Aptos;color:#002060"> </span><span style="font-size:12.0pt;font-family:Aptos;color:#002060"> </span><strong><span style="font-size:12.0pt;font-family:Aptos;color:#002060">DEMAND PLANNING INTERN (INTERNSHIP CONTRACT)</span></strong></p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt;text-align:center"><strong><span style="font-size:12.0pt;font-family:Aptos;color:#002060">June/July</span></strong></p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt;text-align:center"><strong><span style="font-size:12.0pt;font-family:Aptos;color:#002060">6 months</span></strong></p> <p style="line-height:1.39;text-align:justify;margin-top:0.0pt;margin-bottom:8.0pt"><em><span style="font-size:12.0pt;font-family:Aptos;color:#002060">Coty is one of the world’s largest beauty companies with an iconic portfolio of brands across fragrance, color cosmetics, skin care and body care. COTY is the global leader in fragrance and number three in color cosmetics. COTY’s products are sold in over 150 countries around the world. COTY and its brands are committed to range of social causes as well as seeking to minimize its impact on the environment. For additional information about Coty Inc., please visit </span></em><a style="text-decoration:none" href="http://www.coty"><em><span style="font-size:12.0pt;font-family:Aptos;color:#467886;text-decoration:underline">www.coty</span></em></a><em><span style="font-size:12.0pt;font-family:Aptos;color:#002060">.com. </span></em></p> <p> </p> <p style="line-height:1.39;text-align:justify;margin-top:0.0pt;margin-bottom:8.0pt"><span style="font-size:12.0pt;font-family:Aptos;color:#002060">We’re looking for Students to join our BARCELONA Global Planning Hub. The Planning Hub is responsible for Luxury and Consumer Beauty products worldwide. The Hub is located in the heart of Barcelona near Poblenou´s park. Our responsibilities cover most of the supply chain functions, such as: material sourcing, production planning, product distribution, new product development (initiatives planning), inventory management, master data management and Demand planning . English is our work language. </span></p> <p style="line-height:1.39;text-align:justify;margin-top:0.0pt;margin-bottom:8.0pt"><span style="font-size:12.0pt;font-family:Aptos;color:#002060"> Our Global Demand Planning Team are responsible for ensuring good prediction of Sales across the world. This signal drives the full End to End Supply Chain from logistics through production and onto supplier orders. The team collaborates with the markets to get the best Business Intelligence to input to the Machine Learning Models to create the best forecast. The team also ensure all New Product launches are reflected correctly within the forecast.</span></p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt"><strong><span style="font-size:12.0pt;font-family:Aptos;color:#002060">THE ROLE </span></strong></p> <p style="line-height:1.39;text-align:justify;margin-top:0.0pt;margin-bottom:8.0pt"><span style="font-size:12.0pt;font-family:Aptos;color:#002060">This internship supports our Demand planning team This is a unique opportunity to get the knowledge of supply chain end-to-end on a global level, work within a truly multifunctional and international team on challenging projects and daily operations. Within this role you will be able to learn planning processes, participate in daily business, generate, and analyze data to contribute to decision making, identify savings, productivity, and process improvement opportunities. In our demand planning team you will be working with an advanced demand system that integrate machine learning and advance statistical algorithms. </span></p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt"><strong><span style="font-size:12.0pt;font-family:Aptos;color:#002060">WHAT YOU WILL BRING </span></strong></p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt"><span style="font-size:12.0pt;font-family:Aptos;color:#002060">We are looking for candidates who are: </span></p> <ul style="margin-top:0.0px;margin-bottom:0.0px"> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Interested in learning and developing their career in Supply Chain </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Students/graduates of higher education studies (Supply Chain, Logistics, Engineering, Business preferable) </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Proactive, curious and committed to deliver results </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Analytical (able to understand complex concepts and solve problems applying logical thinking)</span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">knowledge on stat algorithm model </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Machine learning is a plus</span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Strong in communication and teamwork </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Highly autonomous, disciplined and with high level of ownership </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Fluent in English </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Advanced in Excel (formulas, pivot tables, data charts) and large databases management </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060;font-weight:bold;text-decoration:underline"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt;font-weight:400.0">Strong proficiency in Power BI and Excel macros/VBA development is a plus.</span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060;font-weight:bold;text-decoration:underline"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt"><strong><span style="font-size:12.0pt;text-decoration:underline">Minimum availability of 6 months </span></strong></p> </li> </ul> <p> </p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt"><strong><span style="font-size:12.0pt;font-family:Aptos;color:#002060">WHAT WE OFFER </span></strong></p> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:8.0pt"><span style="font-size:12.0pt;font-family:Aptos;color:#002060">We are looking for the best and in return we try to offer our best for your internship experience: </span></p> <ul style="margin-top:0.0px;margin-bottom:0.0px"> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Paid internship with a perspective of employment (our internship program is our most valuable source of talent) </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Challenging projects and assignments </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Constant support of a buddy and coaching from dedicated mentors </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Organization culture based on support, friendship, and cooperation </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Dynamic and diverse teams </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">International work environment </span></p> </li> <li style="font-size:12.0pt;font-family:Aptos;color:#002060"> <p style="line-height:1.39;margin-top:0.0pt;margin-bottom:0.0pt"><span style="font-size:12.0pt">Working flexibility (flexible working time and work from home up to 50%) </span></p> </li> </ul> <p> </p>