Senior Analyst, Data & Insights, Enterprise Analytics

Company: The New York Times
Location: New York City
Posted on: April 4, 2026

Job Description:

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, Mission or Department Overview The New York Times is looking for a Senior Analyst to join our Enterprise Analytics Team within the Data and Insights Group (DIG). As part of the Enterprise Analytics team, you will work with teams across DIG, Data Platforms, and Strategy. You will uncover meaningful patterns from our data, automate reporting, create consistent metric definitions, in support of a trustworthy, scalable enterprise data foundation. You will help shape an enterprise-wide view of the journalistic, product and commercial drivers of the business to inform strategy, quarterly earnings and other related deliverables. You will report to the Director, Enterprise Analytics. Responsibilities: You will collaborate with Strategy teams and DIG counterparts to deliver holistic analyses and performance reporting (slide decks, memos) on audience, engagement, and subscription growth to executives, the Board, and Wall Street You will build and maintain centralized reporting dashboards and automated reports on enterprise metrics, for use by analysts and business stakeholders across the organization You will code in R or Python to analyze data, build visualizations, and create automated reporting infrastructure You will write SQL to build pipelines, reporting architecture, and analyze large datasets. You will 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: 2 years of experience working with data analytics or data science teams to deliver reporting and analysis Proficiency in SQL and experience working with relational databases 2 years of experience in at least one additional scripting language like R or Python 1 years experience with data visualization and presenting insights from data Preferred Qualifications: 1 years of experience working in big data environments such as BigQuery or dbt, querying 10M rows 1 years of experience working in dbt or other data transformation or scheduling tool 1 years of experience with version control (Github, code review) 1 years of experience with subscription or revenue metrics REQ-019896 The annual base pay range for this role is between: $102,000 - $110,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. 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 . 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 reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here . 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 . 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 NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general .

Keywords: The New York Times, Plainfield , Senior Analyst, Data & Insights, Enterprise Analytics, IT / Software / Systems , New York City, New Jersey