Commerce Data Analyst

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Location:

London, GB

Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, CN Traveller, Vanity Fair, Wired, The World of Interiors, House & Garden and Tatler, among many others. We are headquartered in New York and London and operate in 32 markets worldwide, with a footprint of more than 1 billion consumers across print, digital, video and social platforms.

Condé Nast thrives on collaboration, and our teams come together in the office four days a week (Monday - Thursday). We value diversity of background, views and cultures. We celebrate people for their personal qualities, skills and contributions, recognising the power our brands have to influence and shape culture.

To be successful in this role, you must be highly strategic with exceptional ability to translate data into compelling narratives and actionable recommendations. You're equally comfortable building frameworks for recurring analysis as you are diving into ad hoc investigations that uncover hidden opportunities. You have strong technical capabilities—able to troubleshoot data pipeline issues, write SQL queries, and coordinate with engineering teams to resolve systemic challenges.

You thrive in fast-paced environments, managing multiple stakeholders across markets and time zones while maintaining rigorous standards for data accuracy and insight quality.

• Support regional leads on monthly brand performance reviews across Western Europe markets, empowering teams to understand their data and developing clear recommendations to move performance forward
• Conduct ad hoc deep‑diving analyses using data outside standard dashboards to identify growth opportunities, optimization levers, and emerging trends
• Analyze monetization opportunities to grow EPC through category classification, commission structures, network performance, GMV, AOV, and other key levers
• Partner with finance on revenue reporting, interpreting commerce trends and providing context to support financial planning

• Build and maintain intuitive self‑service dashboards and data visualizations; set up new reporting systems to help teams access and understand their data
• Identify and diagnose data discrepancies or pipeline issues; work directly with engineering teams to implement fixes
• Use SQL to conduct custom analysis and troubleshoot technical challenges; ensure data quality across all reporting systems

• Create repeatable frameworks and methodologies for strategic analysis; standardize performance review processes across markets
• Liaise across stakeholders in multiple markets, synthesizing inputs and translating complex technical concepts for non‑technical audiences
• Establish clear protocols for cross‑functional collaboration and coordinate effectively across different time zones

• Highly strategic thinker with exceptional data storytelling abilities—you don't just present numbers, you build narratives that drive decision‑making
• Strong technical foundation with proficiency in SQL (required); experience with Python, Tableau, Business Objects, or similar analytical tools is a plus
• Advanced in Excel/Google Sheets with ability to build sophisticated models and analyses
• Demonstrated ability to troubleshoot technical issues and coordinate with engineering and teams to implement solutions
• Understanding of GDPR and other local laws regarding data usage
• Experience developing repeatable processes and frameworks for strategic analysis
• Proven track record of managing multiple stakeholders across different markets and organizational levels
• Strong…