Digital Analytics Senior Analyst, E-Commerce Performance

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.

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The Digital Analytics Senior Analyst, E-Commerce Performance is a key member of the North America E-Commerce analytics team at Ralph Lauren. This role drives the automation and creation of recurring digital insights & advanced analytics, enhances the e-commerce data mart across multiple data sources, and supports overall business strategy. The role leads complex data and web analytics problem solving, communicates actionable insights to key stakeholders, develops subject matter expertise in priority e-commerce areas, collaborates across business teams on new data initiatives, and upskills the wider teams on advanced data tools.

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Data Workflows, Reporting and Visualization

• Drive critical workflows that transform, visualize, and extract value from e-commerce data.
• Lead the design and development of automated reporting using Python, SQL, Snowflake, and/or Tableau to surface insights across the business and enable self-service analytics within e-commerce.
• Enhance and maintain the e-commerce data mart by combining website analytics, product sales, customer, and experience data.

Analysis, Insights and Storytelling

• Analyze data from multiple sources to identify trends related to customer behavior, product performance, and market dynamics.
• Lead quantitative analysis of customer profiles, segments, channels, and e-com store performance to address new business challenges.
• Lead qualitative analysis of customer and browser feedback to identify additional explanations for business performance.
• Develop and deliver clear, high-quality presentations that translate analysis into actionable business recommendations.

Leadership and Business Partnership

• Lead smaller analytical projects from discovery through output delivery.
• Build strong relationships with e-commerce, BI, Data Science, Customer Insights, and other cross-functional teams to advance new data initiatives.
• Mentor analysts and upskill the team in tools such as Tableau, Power BI, and/or Databricks
• Proactively contribute to wider departmental priorities and outputs.

Salary range: $69,850 - $125,525 annually,

• Strong experience in e-commerce, digital, customer, or web analytics, including the ability to solve complex business problems through data.
• Advanced capability in SQL and data visualization, with experience building automated reports and reusable data workflows.
• Ability to combine and analyze website behavior, transactional, customer, and qualitative data sources.
• Excellent analytical, problem-solving, presentation, and data storytelling skills.
• Demonstrated ability to lead analytical projects, influence stakeholders, and mentor other analysts.

Preferred Qualifications

• Power-user capability in Tableau, Power BI, or comparable analytics platforms.
• Experience developing or enhancing an e-commerce data mart and enabling self-service analytics
• Experience in retail or fashion e-commerce.

Core Competencies

• Strategic and commercially minded, with a strong focus on actionable outcomes.
• Proactive collaborator who builds productive relationships across technical and business teams.
• Innovative, organized, and comfortable managing multiple priorities.
• Committed to knowledge sharing, mentoring, and continuous skill development.