Ref#: W162309
Department: Data Analytics
City: London
State/Province: London
Location: United Kingdom
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 seeking a passionate and highly motivated Senior Data Strategy Analyst to join the EMEA Data Strategy team. The Data Strategy team is the driver of end-to-end data and technology capabilities to enable first in class customer centric marketing. Reporting into the Senior Data Strategy Manager, the successful candidate will be responsible for discovering insights from large data sets and support data driven decisions to deliver better product, service and relevance to consumers.

Essential Duties & Responsibilities

• Develop a comprehensive understanding of our data landscape, customer journeys, marketing experiences, and predictive model usage across our Marketing and Clienteling activities
• Lead analysis of our BAU Marketing and Clienteling experience to help our CIX team make effective optimisations
• Own deep dive analyses across our Marketing and Clienteling experiences, and present complex insights through creative storytelling to the CIX team
• Lead CRM test design and post campaign analyses to clearly communicate learning and recommendations to senior stakeholders
• Present analyses to senior leadership team as well as large audiences in a clear and concise manner
• Use understanding of our existing predive models to make optimisations to our customer experiences across the EMEA region and to develop the models for better customer engagement, retention and sales
• Build visualisation to highlight clear trends and correlations in BI tools like Tableau
• Collaborate with internal and external stakeholders to drive data-led business decisions

Experience, Skills, and Knowledge

• Relevant data experience in Data Strategy, CRM or Data Science or relevant educational qualifications (eg: Mathematics, Engineering, Statistics, Marketing)
• Experience of collation, interpretation, and analysis of multiple sources of data (SQL databases, APIs, web scraping) and data types
• Highly numerate & analytical with strong communication skills
• Experience in manipulating data through advanced quantitative methods: data models, statistics, machine learning
• Experience in presenting insights to non-technical stakeholders
• Excellent planning and organizing skills with a drive for results, problem solving and action oriented
• Team player with great interpersonal and communication skills (both verbal and written)
• Quick learner, with a taste for discovering new technical tools and spotting data inconsistencies

• Develop a comprehensive understanding of our data landscape, customer journeys, marketing experiences, and predictive model usage across our Marketing and Clienteling activities
• Lead analysis of our BAU Marketing and Clienteling experience to help our CIX team make effective optimisations
• Own deep dive analyses across our Marketing and Clienteling experiences, and present complex insights through creative storytelling to the CIX team
• Lead CRM test design and post campaign analyses to clearly communicate learning and recommendations to senior stakeholders
• Present analyses to senior leadership team as well as large audiences in a clear and concise manner
• Use understanding of our existing predive models to make optimisations to our customer experiences across the EMEA region and to develop the models for better customer engagement, retention and sales
• Build visualisation to highlight clear trends and correlations in BI tools like Tableau
• Collaborate with internal and external stakeholders to drive data-led business decision