Senior Analyst, Data Strategy

Ralph Lauren Corporation; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Ralph Lauren Corporation seeks a Senior Data Strategy Analyst to join the EMEA Data Strategy team. This role involves extracting insights from data to improve marketing strategies and customer experiences, requiring strong analytical skills and the ability to present findings to stakeholders.

Qualifications

• Experience in Data Strategy, CRM, Data Science or related fields.
• Strong analytical and communication skills.
• Ability to present insights to non-technical stakeholders.

Responsibilities

• Extract insights from large data sets to support data-driven decisions.
• Lead analysis of marketing and clienteling experiences.
• Create visualizations to highlight trends using BI tools.

Skills

Data Strategy

CRM

Data Science

Analytical Skills

Communication

Problem Solving

Teamwork

Education

Mathematics

Engineering

Statistics

Marketing

Tools

SQL

Tableau

Machine Learning

Job description

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing, and distribution of premium lifestyle products across five categories: apparel, accessories, home, fragrances, and hospitality. For over 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across a broad range of products, brands, and international markets. The company's brands include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, and Chaps, among others, making it one of the world's most recognized families of consumer brands.

At Ralph Lauren, we aim to unite and inspire our communities by amplifying diverse voices and perspectives to foster a culture of belonging, inclusion, and fairness for all. We promote 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. This team drives end-to-end data and technology capabilities to enable top-tier customer-centric marketing. Reporting to the Senior Data Strategy Manager, the successful candidate will be responsible for extracting insights from large data sets and supporting data-driven decisions to improve products, services, and relevance to consumers.

1. Develop a comprehensive understanding of our data landscape, customer journeys, marketing experiences, and predictive model usage across our Marketing and Clienteling activities.
2. Lead analysis of our BAU Marketing and Clienteling experiences to help the CIX team optimize effectively.
3. Own deep dive analyses across Marketing and Clienteling experiences, presenting complex insights through creative storytelling to the CIX team.
4. Design CRM tests and conduct post-campaign analyses to communicate learnings and recommendations to senior stakeholders clearly.
5. Present analyses to senior leadership and large audiences in a clear and concise manner.
6. Leverage understanding of existing predictive models to optimize customer experiences across EMEA and develop models for better engagement, retention, and sales.
7. Create visualizations to highlight trends and correlations using BI tools like Tableau.
8. Collaborate with internal and external stakeholders to drive data-led business decisions.

Experience, Skills & Knowledge

• Relevant experience in Data Strategy, CRM, Data Science, or related educational background (e.g., Mathematics, Engineering, Statistics, Marketing).
• Experience in collating, interpreting, and analyzing data from multiple sources (SQL databases, APIs, web scraping) and data types.
• Highly numerate and analytical with strong communication skills.
• Experience manipulating data using advanced quantitative methods: data models, statistics, machine learning.
• Ability to present insights to non-technical stakeholders effectively.
• Excellent planning, organizational skills, results-driven, problem-solving, and action-oriented approach.
• Team player with strong interpersonal and communication skills (verbal and written).
• Quick learner with enthusiasm for discovering new technical tools and identifying data inconsistencies.