NYT Wirecutter is looking for a Senior Manager, Revenue Analytics to power our business strategy. Your core mandate is to increase audience monetization across our primary businesses-Affiliate, Advertising, and E-commerce-ensuring we preserve long-term audience trust. As a player-coach role, you will lead a team of analysts and partner closely with Revenue, Product, and Marketing leads to establish KPIs, run conversion experiments, and build attribution frameworks that scale revenue. You will report to the Executive Director, Data Analytics.

Responsibilities

• You will lead, mentor, and onboard a team of two direct reports, nurturing their career growth
• You will analyze affiliate revenue drivers (e.g., merchant commissions, EPC, conversion rates, and partner yield) across all content touch points.
• You will be the analytics lead for the newly launched Wirecutter Store, reporting on unit economics, merchandise performance, cart funnel analytics, order value (AOV), and customer acquisition/repeat purchase metrics
• You will partner with Ad Ops and Advertising teams to track ad yield (RPM, eCPM), fill rates, and ad unit viewability, balancing display and custom content revenue against user experience and page speed
• You will evaluate trade-offs between affiliate links, ad placements, and Wirecutter Store product placements on site, creating a holistic monetization framework to maximize total revenue per user.
• You will lead recurring commercial reporting for Wirecutter Leadership, communicating complex multi-channel revenue dynamics, forecasting, and strategic expansion opportunities.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications

• 6+ years of experience in revenue or e-commerce analytics, with direct experience supporting affiliate marketing, digital advertising, or online retail operations
• 2+ years of people management experience
• 3+ years of experience analyzing diverse revenue models, including affiliate marketing, programmatic/direct digital advertising, and DTC e-commerce operations
• 3+ years of experience in A/B testing, conversion rate optimization (CRO), and pricing/placement experiments aimed at.
• Advanced mastery of SQL and experience with BI/data visualization tools (e.g., Tableau, Looker) to build end-to-end commercial dashboards and financial reporting models.

Preferred Qualifications

• 1+ years of experience working with e-commerce platforms (e.g., Shopify, Magento), ad tech/SSP platforms, and affiliate network platforms
• Proficiency in Python or R
• Quantitative degree in Economics, Business Analytics, Finance, Statistics, Data Science, or a related field

This is a remote position.

REQ-020673

Additional Compensation and Benefits:

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

The annual base pay range for this role is between:

$140,000-$160,000 USD

Candidate Use of GenAI Tools:

We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you're an engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.