Manager, Data and Insights, Growth
The New York TimesNew York, NYPosted 2 April 2026
Job Description
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
As part of the Data and Insights Group (DIG), you will join a large community of accomplished data analysts who partner with Product, Engineering, Design, and PMO teams across the business. You will help inform the data and insights strategy for the Customer Care team as an individual contributor. You will have a direct and quantifiable impact in our subscribers business. You will report to the Executive Director, Growth Analytics.
Responsibilities:
You will define strategy within your team's problem space and oversee the definition and execution of solutions
You will present data-oriented analyses to high-level partners to guide team strategy
You will develop best practices for experiment design, including advising on hypothesis generation, sample size, and counter metrics
You will deliver test analysis, advice on future tests and next steps
You will collaborate with product, data science, and tech to bring to life new targeting and insight tools
You will lead all phases of analytic work: from problem definition to representation of results
You will produce insights, advocating for them and driving them into action
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 with data analytics or data science teams to deliver analysis or a quantitative degree
Mastery of Proficiency in SQL and experience working with relational databases
You are proficient in Python or R
Preferred Qualifications:
Familiarity with Google BigQuery, AWS, or other big data environments
1+ years of experience with dbt
Comfort with version control (Github, code review)
1+ years of experience with data visualization tools such as Mode, Tableau, or Looker
1+ years of experience applying statistics to strategic problems
1+ years of experience data modeling
REQ-019879
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.
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 Com ... (truncated, view full listing at source)
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