paid / full-time / New York City, NY, US
Seeking a talented analytical leader to turn passion for data and support of world-class audio journalism into tools and insights. The manager collaborates with product, design, advertising, and editorial teams to deliver tools to measure listener growth and engagement via internal and third-party data sources. This position requires extremely strong strategic and tactical viewpoints, excellent communication skills, mastery of statistics and analytical techniques, a creative mindset, and familiarity with the podcast ecosystem.
This is a pivotal moment in the life of The New York Times. We have declared ourselves a subscription-first company, staking our future on producing journalism that is worth paying for and is unparalleled in its quality, depth and breadth of coverage. Connecting our expanding readership to our quality journalism is one of our most vital and exciting challenges as we move towards reaching our goal of 10 million subscriptions by 2025 .
Over the past few years we have been growing our Audio team to better support successful efforts like The Daily (1 billion downloads since 2017), Caliphate , 1619 and Still Processing , and to lay the groundwork for more to come. While people increasingly find themselves with less and less time, the natural human need to be informed, enriched and entertained remains strong, and we believe there’s a great opportunity with audio to help build products that better meet people where they are.
This is a great opportunity for someone who wants to be at the center of a new product area that involves rapidly evolving technology and consumer behavior, and the chance to help foster a daily habit with quality journalism in new ways for a whole new audience of people.
- Own the structure of audio data sources of record and the definition of key audience and engagement metrics
- Build new tools and reports to showcase the traffic growth as well as audience growth and habit
- Conduct bespoke analysis for product, advertising and editorial while automating and improving processes to standardize reports for industry and internal metrics
- Manage and develop partner relationships and data integration
- Own reporting and communication with internal stakeholders
- Quantitative degree (master’s preferred)
- 4+ years experience in analytical or engineering roles
- Mastery of SQL, experience in Python or R
- Experience with big data environments
- Experience in data visualization/reporting
- Strong communication and interpersonal skills, and ability to work seamlessly with multiple stakeholders in a cross functional team of analysts, technologists, operations and product managers.
- Podcast product or marketing experience
- Subscription and e-comm experience
- Familiarity with D3, Tableau, or Chartio/Looker
- Prior work in setting up databases or sources of record
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 consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local "Fair Chance" laws.