Senior Commerce 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 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-dive 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 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 problem-solving skills with ability to work independently on complex, ambiguous challenges.
• Excellent verbal and written communication skills, able to distill complex analysis into clear, actionable recommendations.
• Background in eCommerce operations; affiliate marketing experience (preferably publisher-side) is highly valued.
• Deep understanding of conversion funnel dynamics, margin management, and affiliate KPIs.
• Degree in Maths, Computer Science, Economics, or similar quantitative field preferred.

Please upload your CV and cover letter/portfolio, which highlights why you'd love to take on this role and why you're a great match for what we're looking for.

We value the time and effort behind every application. All submissions are reviewed by a member of our talent team - we don’t use AI-assisted technology to review applications.

• 25 days holiday (plus bank holidays) and extra days of annual leave if you move house or want to volunteer.
• You’ll have access to a competitive pension scheme, Bupa Private Healthcare, Season ticket loans and eye tests.
• We offer a range of tools to support your wellbeing, including core hours, 10 remote days (from home or a country with a Condé Nast office location), access to our Employee Assistance Programme, corporate gym membership and cycle to work scheme.
• We’re a dog friendly office, plus you’ll enjoy discounts and magazine subscriptions, keeping you up to date with all things Condé Nast.
• We encourage personal and professional growth through the Condé Nast Learning Hub where you’ll find an extensive portfolio of learning courses and training, available in local languages.
• Our Employee Resource Groups provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce.

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.