Manager, Subscriber Analytics, Monetization

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:

• You will establish core monetization metrics like Customer LTV and revenue forecasts that inform company-wide decision-making.

• You will connect subscriber growth and revenue trends into a cohesive narrative that informs strategy and highlights opportunities for leadership.

• You will partner with data analysts, engineers, PMs, and business operators to deliver insights that span teams and tools.

• You will collaborate with Finance and Strategy teams to shape metrics and analysis used in external reporting, including Board updates and public disclosures.

• You will oversee and enhance centralized reporting on monetization performance — ensuring it's trusted, consistent, and easy to use across teams.

• You will improve data accessibility by streamlining pipelines and building self-serve tools that empower non-technical users.

• 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:

• 3+ years of experience working on a data team to deliver insights for subscription products

• 3+ years of strategic abilities, demonstrated leadership experience, an understanding of subscriber and product engagement analytics

• Proficiency in SQL, working with relational databases

• 3+ years of using data programming languages such as Python or R

• 3+ years of experience working in big data environments such as BigQuery or dbt, querying 10M+ rows

• 1+ years of experience in data tools such as Mode, Looker, Tableau, Airflow, or github

Preferred Qualifications:

• 5+ years of experience with data analytics or data science teams to deliver reporting and analysis or a quantitative degree

• 1+ years of experience developing subscription or revenue metrics such as Customer LTV or Time-series revenue forecasts

REQ-018437