高级经理,收入分析,纽约时报Wirecutter
Senior Manager, Revenue Analytics, NYT Wirecutter
《纽约时报》的使命是追求真相,帮助人们理解世界。这意味着独立新闻报道是我们公司一切工作的核心。这就是为什么我们拥有一个享誉全球的新闻编辑室,派遣记者前往近160个国家进行实地报道。这也是为什么我们深入关注读者在从印刷品到音频,再到世界级数字和应用程序平台上的新闻体验。这也是为什么我们的商业策略以打造高质量新闻,使其值得付费为目标。
职位介绍
《纽约时报》旗下的Wirecutter正在寻找一位高级收入分析经理,以推动我们的商业策略。你的核心职责是在我们的主要业务——联盟营销、广告和电子商务中提高受众变现能力,同时确保长期保持受众信任。作为一项球员兼教练的角色,你将领导一支分析师团队,并与收入、产品和市场负责人紧密合作,建立关键绩效指标(KPI),运行转化实验,并构建可扩展收入的归因框架。你将向数据分析执行总监汇报。
职责
- 你将领导、指导并为两位直接下属提供入职培训,促进他们的职业成长
- 你将分析所有内容触点上的联盟收入驱动因素(例如商家佣金、每客订单价值、转化率和合作伙伴收益)
- 你将成为新推出的Wirecutter商店的分析负责人,报告单位经济性、商品表现、购物车流程分析、订单价值(AOV)以及客户获取和重复购买指标
- 你将与广告运营和广告团队合作,跟踪广告收益(RPM、eCPM)、填充率和广告单元可见性,在展示广告和定制内容收益之间取得平衡,同时兼顾用户体验和页面加载速度
- 你将评估网站上联盟链接、广告位和Wirecutter商店商品展示之间的权衡,创建一个全面的变现框架,以最大化每位用户的总收入
- 你将为Wirecutter管理层提供定期商业报告,传达复杂的多渠道收入动态、预测和战略扩展机会
- 展现出对新闻独立性的支持和理解,以及对我们追求真相、帮助人们理解世界的使命的坚定承诺
基本要求
- 6年以上收入或电子商务分析经验,有直接支持联盟营销、数字广告或电商变现的经验
查看英文原文
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.
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