We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Manager, Commerce Analytics

Conde Nast
United States, New York, New York
1 World Trade Center (Show on map)
Jul 28, 2025
Conde 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, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit and Wired, among others. Job Description

Location:

New York, NY

Manager - Commerce Analytics

The Commerce Analytics team supports the growth of the Commerce team at Conde Nast - a team focused on providing service-based shopping recommendations to our readers. We are seeking a Senior Analyst / Manager of Commerce Analytics to serve as data subject matter expert for the Commerce Analytics team, fully understanding our data's ins & outs, limitations and growth opportunities; working cross-functionally with data engineering, product, and business intelligence to integrate, test, and help productionize commerce data.

The ideal candidate is someone who is highly quantitative, who is nimble and creative with the ability to think critically and incorporate data and testing into the decision-making process. Expertise with digital analytic tools is a must. We will prioritize candidates who are curious, motivated and entrepreneurial. This person will be able to utilize technical expertise to ensure data analysis is accurate and high-quality.

Primary Responsibilities:

  • Serve as data subject matter expert for the Commerce Analytics team, fully understanding our data's ins & outs, limitations and growth opportunities

  • Apply data mining and information gathering techniques to identify and interpret patterns and trends in affiliate performance

  • Complete and present in-depth analyses and data-based recommendations to help grow revenue and traffic

  • Work closely with our internal data team as well as third party data providers to improve our data infrastructure and assurance efforts

  • Explore relationships between commerce performance data and first-party data to learn more about consumer habits

  • Identify opportunities to automate routine and recurring tasks through the coding of scripts and other means

Desired Skills & Qualifications:

  • 3+ years of working experience in data analytics

  • Experience using advanced SQL-based exploratory analytics tools

  • Familiarity with Python and R is a plus

  • Hands-on experience with reporting and analysis using analytics tools such as Google Analytics, Mode, Tableau, or similar

  • Proficiency in Microsoft Excel and/or Google Sheets

  • Understanding and concrete practice of statistical concepts

  • Passion for new media & technological possibilities with an eager curiosity

  • Demonstrated ability to learn quickly

  • Familiarity with affiliate marketing and/or working at an affiliate network is a plus

  • Experience with e-commerce business is a plus

  • Strong presentation and communication skills are a must as this role will require collaboration with colleagues and teams who may not be familiar with the team's subject matter

The expected base salary range for this position is from $100,00-$115,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.

In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary bonus compensation.

What happens next?

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.

Conde 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.

Applied = 0

(web-6886664d94-4mksg)