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The New York Times

Senior Manager, Revenue Analytics, NYT Wirecutter

1 month ago
The New York Times · New York, NY
HybridFull-timeSQL · Tableau
The New York Times

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Director, Product Analytics

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  • The New York Times

    Senior Manager, Revenue Analytics, NYT Wirecutter

    The New York Times · 🇺🇸 New York, NY · posted 1 month ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Remote position
    Eng team
    2 direct reports
    Stack
    SQL, Tableau, Python, Looker

    The posting, condensed

    Senior Manager, Revenue Analytics leading 2 analysts at NYT Wirecutter optimizing monetization across affiliate, advertising, and e-commerce channels. Stack: SQL, Tableau/Looker, conversion testing.

    About The New York Times →

    The full posting

    The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

    About the Role

    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.

    The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

    We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

    The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

    For information about The New York Times' privacy practices for job applicants, click here.

    Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

    If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at [email protected]. You can also file a report with the Federal Trade Commission or your state attorney general.