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Manager, Subscriber Analytics, Monetization
Job Description
- 5+ years with data analytics or data science teams
- 1+ years developing subscription or revenue metrics
- 3+ years on a data team for subscription products
- 3+ years strategic abilities and leadership
- Proficiency in SQL
- 3+ years using Python or R
- 3+ years in big data environments (BigQuery, dbt)
- 1+ years in data tools (Mode, Looker, Tableau, etc.)
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 to join us on our Subscriber Analytics team within the Data and Insights Group (DIG). This is a collaborative role where you partner with teams across DIG, Finance and Strategy to develop cross-mission agreement and standardization of reporting metrics that informs both team and enterprise level strategy. You will report to the Director, Subscriber Reporting.
Responsibilities:
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You will establish core monetization metrics like Customer LTV and revenue forecasts that inform company-wide decision-making.
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You will connect subscriber growth and revenue trends into a cohesive narrative that informs strategy and highlights opportunities for leadership.
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You will partner with data analysts, engineers, PMs, and business operators to deliver insights that span teams and tools.
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You will collaborate with Finance and Strategy teams to shape metrics and analysis used in external reporting, including Board updates and public disclosures.
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You will oversee and enhance centralized reporting on monetization performance — ensuring it's trusted, consistent, and easy to use across teams.
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You will improve data accessibility by streamlining pipelines and building self-serve tools that empower non-technical users.
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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:
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3+ years of experience working on a data team to deliver insights for subscription products
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3+ years of strategic abilities, demonstrated leadership experience, an understanding of subscriber and product engagement analytics
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Proficiency in SQL, working with relational databases
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3+ years of using data programming languages such as Python or R
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3+ years of experience working in big data environments such as BigQuery or dbt, querying 10M+ rows
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1+ years of experience in data tools such as Mode, Looker, Tableau, Airflow, or github
Preferred Qualifications:
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5+ years of experience with data analytics or data science teams to deliver reporting and analysis or a quantitative degree
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1+ years of experience developing subscription or revenue metrics such as Customer LTV or Time-series revenue forecasts
REQ-018437
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