Senior Analytics Engineer, Data Platform

**The [mission](https://www.nytco.com/mission-and-values/) 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, Mission or Department Overview** 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. **Responsibilities:** - You will 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 - You will be our subject matter expert on our subscription data, translating our needs into technical implementations and mentoring teammates on the domain - You will design reusable business logic and data pipelines allowing other analysts and partners to answer questions quickly. - You will 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](https://www.nytco.com/company/mission-and-values/) and a strong commitment to our mission to seek the truth and help people understand the world. **Basic Qualifications:** - 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 **Preferred Qualifications:** - 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 REQ-020523 **Compensation and Benefits For This Role:** In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. The annual base pay range for this role is between: $124,000—$135,000 USD **Candidate Use of GenAI Tools:** We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you’re an engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment. --- The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do 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 U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available [here](https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal). The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. For information about The New York Times' privacy practices for job applicants, click [here](https://nytco-assets.nytimes.com/2020/06/NYT_Applicant_Privacy_Policy.pdf). Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through [The New York Times careers site](https://www.nytco.com/careers/). The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the [Federal Trade Commission](https://reportfraud.ftc.gov/#/) or your [state attorney general](https://www.naag.org/our-work/center-for-consumer-protection/consumer-file-a-complaint/).