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