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Ralph Lauren

Career Opportunity

Data Analyst

Ref #:

W153984

Department:

Information Technology

City:

London

State/Province:

London

Location:

United Kingdom

Pay Range Max

Pay Range Min

Company Description

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.

Position Overview

We are looking for a motivated and detail-oriented Associate Data Analyst to join our dynamic data science team. This junior role is designed for individuals eager to support data science projects and facilitate communication between the technical team and business users. In this role, you will collaborate closely with data scientists to help build and deploy globally adapted machine learning solutions.

Essential Duties & Responsibilities

  • Work with data scientists in the design, development, and deployment of data-driven solutions to address business challenges
  • Develop, implement, and maintain efficient data pipelines to ensure seamless data flow and integration across various systems
  • Monitor and analysis the performance of existing machine learning models, ensuring operation consistency and providing valuable insights 
  • Serve as a liaison between the data science team and business users to understand their needs and translate them into actionable data solutions
  • Educate business users on the capabilities and applications of machine learning models; lead initiatives to integrate data science insights into business processes

Experience, Skills & Knowledge


  • Hands-on experience in Data Science, Data Analytics, IT, or related quantitative fields
  • Knowledge in Data Science, Computer Science, Statistics, or a related field 
  • Basic understanding of advanced analytics, statistical modelling and machine learning theories
  • Proficiency in Python
  • Experience with relational databases and SQL
  • Proficiency in Microsoft Excel, PowerPoint and Outlook
  • Excellent written and verbal communication skills
  • Eagerness to learn and adapt to latest technologies and methodologies in the industry
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