Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Laurens reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Companys brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the worlds most widely recognized families of consumer brands.
At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
Position Overview
Key role in the EMEA E-commerce analytics team ensuring they will support in automating and running the customer reports on a recurring basis for Retail, E-commerce and Outlets to support Business Strategy. They will help evolve the E-commerce DataMart encompassing data from various data sources to unlock, drive and deliver new insights, reporting, and advanced analytics to drive data driven business decisions. They will solve complex business problems / challenges through data analytics and will story-tell the actionable insights to the key stakeholders to drive and encourage data-driven decision making. They will build and collaborate with various business teams outside of RLE to drive new data initiatives.
Key Responsibilities
1. Develop critical workflows for transforming, visualising, and extracting value from E-commerce.
2. Design and develop automated reports using SQL and Tableau to surface insights to the entire business and also drive self-serve analytics within E-commerce.
3. Collect and analyse data from various sources, including website analytics, sales data, and customer feedback, to identify trends and insights related to customer behaviour, product performance and market dynamics.
4. Conduct quantitative, transactional based analysis: specific profile, segment, channel or store performance analysis from a customer standpoint to support the understanding of new Business challenges.
5. Develop and deliver clear, insightful, and high-quality PowerPoint presentations to be shared with wider teams and key stakeholders.
6. Collaborate with various business teams to drive new data initiatives within the E-commerce analytics team.
Experience, Skills & Knowledge
* Experience in web & data analytics (Adobe preferred).
J-18808-Ljbffr