Sr Business Analytics Analyst

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 Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's 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 world's 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.

Do you enjoy driving very complex projects while seeking to invent and simplify? Do you enjoy leveraging your creativity to build solutions to real world problems? The Logistics division is looking for energetic talent for its Data & Analytics Team. We want a creative, analytical and strategic driver, who is passionate about Ralph Lauren and the future of the brand. The ideal candidate is passionate about new ideas, works effectively with cross-functional teams and thrives in a fast-paced setting that is constantly evolving. We dive deep on a broad range of subjects, but we are adaptable and action oriented. We focus on quickly gaining enough context to enable informed decision-making. Executing strategic projects that evolve the core of our operations in line with the overall business strategies is our primary objective.

You will focus on driving analytical capabilities for the logistics organization that affect distribution, transportation, and inventory. The position requires an understanding of wholesale, retail and direct-to-consumer business functions. This person will assist in planning, prioritizing, developing and communicating updates to key transformation initiatives related Data & Analytics.

The ideal candidate will also possess knowledge of standard business processes related to distribution and fulfillment processes. This individual will assist identifying and developing KPIs for all our North America operations. They will manage priorities with the business, take on large projects themselves.

Act a core individual contributor in cross-functional projects that drive new analytical capabilities through data-driven decision-making processes & outcomes.Develop solutions that allow for collection, processing, and analysis of logistics data across various cloud platforms, ensuring data security, compliance, and accessibility.Utilize cloud-based analytics and predictive modeling to identify trends, while optimizing logistic operational capabilities.In partnership with leadership, help in evaluating & implementing the latest analytics tools and technologies, prioritizing cloud-based solutions that offer scalability, reliability, and real-time data processing capabilities.Act as core liaison between the Global Logistics function and other business units, ensuring alignment on analytical strategic initiatives.Directly contribute to the development & direct integration of cloud technology solutions within the logistics and supply chain functions, ensuring they are leveraged to their full potential for analytics and decision-making.

Provide off-hours support to ensure business reporting uptime & proper SLA’s are met.

Experience, Skills & Knowledge

Bachelors degree in Information Systems, Supply Chain Management or EngineeringMasters Degree in Information Technology/Systems or Analytics preferredRelevant work experience related to Supply Chain, Distribution, Transportation or IT FunctionsHighly proficient with cloud based analytical platform implementations & capabilities (i.e Azure, AWS, GCP)Skillset in driving complex solutioning & delivery of analytics solutions through scalable reporting automation with minimal supervisionHighly proficient SQL & Python knowledge with demonstrated use of common BI Visualization Platforms such as QlikSense, MicroStrategy, Tableau, Power BI, or similar reporting toolsDemonstrated skillset leveraging cloud-based integration technologies for ETL/ELT process & data transformationWorking knowledge of modern cloud-based solution architecture data platform conceptsProject management skills (including prioritization and organization) with ability to help leadership influence key business stakeholders to drive positive outcomesWorking knowledge of Microsoft Office, WMS, relational databases and ERP systems (e.g. SAP)