Analyst, Subscriber Retention @ The New York Times - New York, NY

Job Overview

7 days ago

Analyst, Subscriber Retention

The New York Times - New York, NY

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 newsroom that’s 1,700 strong and 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.

Note for US based roles: Any offer of employment is contingent on providing proof of Covid-19 vaccination prior to your start date, subject to approved medical and/or religious exemptions, in accordance with applicable law.

The New York Times is looking for a Data Analyst to support our Growth Mission. This position will play an essential role in retaining our subscribers by collaborating with multiple teams across tech and business groups to deliver strategic analyses and recommendations, conduct experiments, and produce data tools that support our business. This role requires a strategic and tactical viewpoint, strong problem solving, data science and analytics skills and a deep sense of curiosity. The ideal candidate will turn passion for data and world-class journalism into data tools and insights to drive business growth.


  • Work with internal stakeholders to understand Retention challenges and develop data-driven solutions

  • Collaborate with product, engineering and data science to define problems and bring solutions to life

  • Democratize data and insights through data structuring and use of visualization tools

  • Write BigQuery to pipeline and analyze big data

  • Support defining A/B tests, analyze results and provide insights and advice on next steps

Minimum Qualifications:

  • Degree in an analytical field such as economics, stats/mathematics, or computer science or 1+ years experience in an analytical role.

  • Familiarity with Google BigQuery or other SQL language

  • Strong communication and presentation skills – written, visual, and verbal

  • Excellent analytical reasoning and problem-solving skills

  • A collaborative mindset and sense of curiosity is essential

Desired Qualifications:

  • Experience with Python or R

  • Experience with visualization tools like Mode, Tableau, or Looker

  • Masters degree in analytical field

  • Comfort with version control (Github, code review)

  • Experience applying statistics and data science methods to solve business problems

  • Experience with A/B Testing

If you don’t fill all these requirements but believe you have what it takes to succeed in this role, we encourage you to apply!


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, and will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws.

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