Senior Analytics Engineer, Data Platform

The New York Times•New York, NY

1d•$124,000 - $135,000

About The Position

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. We are looking for analytical talent to turn experience with data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG) and Data Platforms, you will join a large community of accomplished data professionals who partner with Product, Engineering, and Design teams across the business. You will focus on supporting our enterprise partners and report to our Executive Director, Analytics Engineering.

Requirements

5+ years of experience in analytics engineering, data engineering, product analytics or similar data-intensive roles
Proficiency in SQL, DBT, and data transformation workflows
Proficiency in Python for ETL and analytics use cases
Experience communicating updates and resolutions to customers and other partners; you will work with both business-focused partners and platform-focused engineers
Hands-on familiarity with GCP/BigQuery, Databricks/Spark, AWS, Snowflake, or other cloud data environments

Nice To Haves

1+ years of experience working with billing, subscription, and revenue data for a digital subscription product
1+ years of experience working with terabyte scale user engagement data for attribution
1+ years of experience developing on and contributing to agentic analytics workflows on a data team

Responsibilities

Independently lead work streams in a high leverage, high visibility role building the next generation of data foundations for our core enterprise reporting datasets that executives depend on daily
Be our subject matter expert on our subscription data, translating our needs into technical implementations and mentoring teammates on the domain
Design reusable business logic and data pipelines allowing other analysts and partners to answer questions quickly.
Develop data models, data contracts, alerting, context, and metrics/semantic layers supporting both traditional and AI-assisted analytical use cases.
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.