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Ref #
W179492
State/Region
Geneva
Department
Data Analytics
地點
Switzerland
City
Plan-les-Ouates

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

We are looking for a data-driven, curious, and collaborative Analyst to join the Marketing Data Intelligence team. This role will support the development of actionable insights across market intelligence, brand health, consumer research, and customer insights, helping drive better decision-making across Brand Growth and Omnichannel marketing teams

ESSENTIAL DUTIES & RESPONSIBILITIES

Data Analysis & Insights Generation

  • Analyze performance data across brand, omnichannel, and market dimensions to generate clear, actionable insights
  • Support the team in identifying trends, risks, and opportunities through data-driven analysis
  • Contribute to market intelligence by tracking industry, competitor, and consumer trends

Consumer & Market Insights

  • Support the design, execution, and analysis of market research and consumer insights projects
  • Consolidate multiple data sources (quantitative and qualitative) into clear narratives
  • Develop a strong understanding of consumer behavior and regional market dynamics

Reporting & Operational Excellence

  • Own and maintain recurring reports and dashboards
  • Ensure accuracy, consistency, and timeliness of data delivery
  • Support / promote ad hoc analyses to respond to business needs

Omnichannel & Stakeholder Support

  • Contribute to the integration of data into omnichannel and leadership presentations
  • Act as a key support for cross-functional teams by providing relevant data and insights
  • Collaborate closely with Marketing, Business Development, and other stakeholders

Success Factors

To excel in this role, you will need:

  • A strong analytical mindset with the ability to translate data into actionable insights
  • High attention to detail and a structured, organized way of working
  • Curiosity and a proactive approach to understanding business questions
  • Ability to manage multiple priorities in a fast-paced environment

EXPERIENCE, SKILLS & KNOWLEDGE

The ideal candidate will possess:

  • Strong data appetite with advanced analytical capabilities
  • Experience in consumer insights, market research, or performance analysis, preferably in fashion/luxury retail or fast-moving consumer goods.
  • Ability to work with large datasets and synthesize complex information clearly
  • Strong written and oral communication skills, with the ability to present insights in a concise and impactful way, adapted to the audience
  • Collaborative mindset and ability to work / coordinate projects with multiple stakeholders
  • Proactive approach with the ability to anticipate business needs, identify emerging questions, and translate them into relevant analytical approaches and insights
  • Ability to thrive in a fast-paced environment while managing multiple tasks effectively
  • Proficiency in Microsoft Office (Outlook, Word, PowerPoint & Excel) and AI tools. Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Fluency in English, any other language (especially French) is a bonus
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