Ralph Lauren Data Analyst, Digital Commerce, EMEA & LATAM

Ralph Lauren; Greater London; On-site; GBP 55,000 - 90,000; Full time

Job summary

Ralph Lauren is seeking a data-driven EMEA e-commerce analytics specialist to deliver insights and reporting that optimize the digital customer journey and performance marketing. You will partner with Digital Commerce teams and external agencies to drive data-driven decisions.

Responsibilities include developing a robust reporting suite, QA tagging, and translating analytics into actionable recommendations for stakeholders.

Qualifications

• Degree in a quantitative field (statistics, mathematics, physics, engineering)
• Strong experience in retail analytics with ability to turn data into actionable insights for stakeholders
• Experience using data visualization and BI tools
• Outstanding analytical skills and attention to detail
• Excellent written and spoken communication
• Experience building scalable reporting and analytics
• Experience with relational databases and data mining tools
• Experience with Adobe Analytics, PowerBI, SQL, Databricks

Responsibilities

• Develop a reporting suite that demonstrates ROI and profitability across campaigns, journeys, and product lines using Adobe, MicroStrategy tools, and dashboards.
• Create and maintain reports and dashboards using web analytics data and visualization tools, aiming to automate reporting.
• Translate data into actionable insights and drive data-driven decisions.
• Lead experimentation processes and UX improvements through A/B & MVT tests.
• Monitor market trends and provide updates on best practices.
• Act as the analytics power user for the EMEA e-commerce team and coordinate with external agencies.
• QA tagging and data layer validation across analytics tools, collaborating with developers and product teams.
• Create QA checklists and standardize validation processes.
• Support A/B test setup with QA before/after launch to ensure proper configuration.

Skills

Storytelling with data

Analytical thinking

Communication skills

Problem solving

Education

Bachelor's degree in a quantitative field

Tools

Adobe Analytics

Power BI

SQL

Databricks

Adobe Customer Journey Analytics

Job description

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

Key role in the EMEA E-commerce analytics team ensuring they will deliver 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. 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, and will own and maintain that dialogue whilst also pro-actively delivering innovative and creative analytics in that space.

Essential Duties & Responsibilities

• Develop a reporting suite that clearly and accurately demonstrate 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 visualisation 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)
• Monitor competitors' activities and provide updates on best cases and market trends.
• 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.

Experience, Skills & Knowledge

• A strong quantitative university degree or equivelant ( 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