The New York Times

Manager, Data & Insights, Growth

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

The New York Times is looking for a Manager, Data & Insights, Growth. 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 Conversion Team to help the broader Growth mission hit quarterly and long-term subscriber acquisition goals. More specifically, you’ll help monitor and evaluate NYT’s subscriber acquisition efforts. You’ll also have the opportunity to conduct generative research to identify opportunities for future improvements. You will report to the Executive Director of Data & Insights - Conversion.

Responsibilities

  • You will define strategy within the Conversion team’s problem space and lead the definition and execution of solutions
  • You will identify opportunities for developing scalable data assets and execute on them by developing your own data pipelines, documentation, and long-term maintenance plan
  • You will support data-oriented analyses, produce insights useful to the business, and present to partners and leaders across the organization
  • You will evaluate a broad range of digital experiments and contribute to best practices for experiment design, hypothesis generation, sample size, and counter metrics
  • You will implement monitoring and other outlier detection tools to monitor the performance of our UX at scale
  • You will democratize data and insights through skillful data structuring and use of visualization tools
  • You will lead all phases of analytic work from defining problems to presenting results
  • 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
  • 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
  • Mastery of version control (Github, code review)

REQ-016772

The annual base pay range for this role is between:

$120,000 — $135,000 USD

The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.

The New York Times Company is an Equal Opportunity Employer and does 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 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 will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws.

The New York Times Company follows the pay transparency and non-discrimination provisions outlined by the United States Office of Federal Contract Compliance Programs. Click here for details.

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 security@nytimes.com . You can also file a report with the Federal Trade Commission or your state attorney general .

  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    Newspaper Publishing

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