Ralph Lauren
Data Analyst, Digital Commerce, EMEA & LATAM
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Ralph Lauren Corporation
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.
Key Role in the EMEA E-commerce Analytics Team
You will play a key role in the EMEA E-commerce analytics team, delivering insights, reporting, and advanced analytics to drive business decisions and support optimizing the digital customer journey, customer services, and performance marketing. You will solve complex business problems/challenges through data analytics and will story-tell the actionable insights to the key stakeholders to drive and encourage data-driven decision making.
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You will build key relationships with internal and external stakeholders, Digital Commerce associates, and other analysts around the business, becoming an SME for one of the Digital teams, i.e., Performance Marketing. You will own and maintain that dialogue while also proactively delivering innovative and creative analytics in that space.
Responsibilities
- Develop a reporting suite that clearly and accurately demonstrates ROI and profitability, from campaigns, collections, customer journeys, digital product, and merchandise product perspective using Adobe, Microstrategy tools, across a range of metrics that cover all stages of the consumer journey, transactions, and voice of the customer interactions.
- Creation and maintenance of reports and dashboards using web analytics data and data visualization tools, with the ambition to automate all reporting across the business, whilst monitoring the core KPIs vs. targets.
- Proactively seek to solve complex business problems/challenges through data analytics and will translate data into actionable insights and drive data-driven decision making.
- Play a key role in the experimentation process and UX improvements through A/B & MVT tests.
- Monitor competitors’ activities and provide updates on best cases and market trends.
- Become the E-commerce team's analytics power user, promoting tool awareness and capability (Adobe).
- Liaise with appointed external agencies who are supporting digital analytics.
- Perform QA testing on web analytics tracking implementations to ensure data accuracy and integrity.
- Conduct validation of tagging, data layers, and event tracking across Adobe and other analytics tools.
- Partner with developers and product teams to identify and resolve tracking issues before release.
- Create and maintain QA testing checklists and documentation to standardize validation processes.
- Support A/B test setup with pre- and post-launch QA to verify correct experiment configuration and data collection.
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Requirements
- A strong quantitative university degree or equivalent (e.g., statistics, mathematics, physics, engineering).
- Strong experience in retail analytics, with the ability to turn data into actionable insights and communicate recommendations through clear, impactful storytelling for business stakeholders.
- Experience of actively using data visualization tools and enterprise Business Intelligence tools.
- Outstanding analytical skills and attention to detail.
- Excellent communication skills, both written and spoken.
- Experience of building scalable reporting and analytics.
- Experience of using relational databases and data mining tools.
- Adobe Analytics / Adobe Customer Journey Analytics, PowerBI, SQL, Databricks.
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