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The New York Times

Manager, Data & Insights, Email Marketing

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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, Mission or Department Overview

The New York Times is looking for a Manager, Data & Insights, Marketing. As part of the Data and Insights Group (DIG), you will join a large community of accomplished data analysts who partner with Product, Engineering, and Design teams across the business. You'll work on our Owned Media Analytics team to help hit quarterly and long-term subscriber acquisition goals and engagement goals from channels such as Email, Display, Audio, and Print. More specifically, you'll help monitor and evaluate NYT's owned Marketing efforts. You'll also have the opportunity to conduct generative research to identify opportunities for future improvements. You will report to the Director, Marketing Analytics.

Responsibilities:

  • You will work with the Media team to build the weekly, monthly, and quarterly narrative of Marketing Email performance. You will build automated dashboards and decks to support this narrative and aid in reporting.

  • You will forecast metrics each year, and help the team optimize the channed to achieve their quarterly and yearly goals.

  • You will facilitate a continuous experimentation strategy aimed at improving channel and program performance, setting measurable hypotheses, counter metrics, and working with the team to break-down and understand results.

  • You will work with the Machine Learning Science team to test efficacy of different models, and adjust dynamic thresholds based on data.

  • You will work closely with engineers to ensure data accuracy and availability.

  • You will build relationships across product, marketing, and messaging teams to execute the strategy and vision of the email program.

  • You will support data-oriented analyses, produce insights useful to the business, and present to partners and leaders across the organization

  • You will 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:

  • 5+ years of experience working on data analytics or data science teams where you analyzed time series trends, generated insights that drove decision-making, and developed tools that democratized data for partners throughout the company

  • 1+ year of experience doing marketing analytics or working with email data.

  • 5+ years of experience applying statistics to strategic problems

  • Mastery of SQL and experience working in Google BigQuery, AWS, or other big data environments

  • 5+ years of experience with data visualization tools like Mode or Tableau

Preferred Qualifications:

  • Mastery of Python or R

  • 5+ years of experience with digital experimentation

  • 3+ years of working in lifecycle and email marketing, experience with ESPs (Klaviyo, MailChimp, Responsys)

  • Experience using A/B testing to optimize performance, improving deliverability, and turning subscriber data into actionable marketing strategies.

  • Mastery of version control (Github, code review)

REQ-020223

The annual base pay range for this role is between:
$124,000—$135,000 USD

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, 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.

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 reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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