Ralph Lauren - Intern, CRM Analyst

The Appointment Aug 22nd 08 Polo Ralph Lauren launches m-commerce site Iconic fashion brand Polo Ralph Lauren has become the first in the luxury sector to launch a mobile commerce site. Initially only open to US customers, m.ralphlauren.com is offering the brand’s US Open collection and its RL Classics to begin with but further lines are expected to be added in due course. The move was described as the “natural next step” for Polo Ralph Lauren to engage with its customers.

Position Overview

We are seeking a passionate and highly motivated individual to join the Omni-Channel EMEA Data Strategy team. This team support all aspects of customer segmentation, first-party data capture and consumer activation along the consumer journey (Media, CRM, Clienteling), for all brands and channels across our EMEA organization.

Reporting into the Data Strategy, Senior Manager, the successful candidate will support the team in running analysis and discovering insights on Ralph Lauren customer database, support in the building of customer segmentation used in customer journeys, help facilitate our regular campaigns and monitor the Ralph Lauren database and ecosystem.

Essential Duties & Responsibilities 

• Support on the email, mobile and Direct Mail CRM segmentation strategy, tracking and results reporting
• Support with customer compliance processes to make sure that we adhere to GDPR regulations as well as other legal standards.
• Support on regular insights and recommendations to the Omni-Channel CRM team to optimize their campaigns & activations
• Work with the Omni-Channel CRM team to support optimization of customer strategy
• Monitor channel performance and customer behaviour to articulate success, learnings, and suggestions to drive performance optimization
• Monitor database growth & retention
• Build strong relationships with the wider business

Experience, Skills & Knowledge

• Passion to develop analytical expertise
• Numerate & analytical
• Strong communication and organisation skills
• Quick learner, with a taste for discovering new technical tools and spotting data inconsistency
• Ability to work well independently and part of a team
• Knowledge of Excel and PowerPoint
• SQL knowledge would be highly beneficial but not a pre-requisite