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The New York Times
- Internship
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.
The New York Times is seeking an intellectually curious individual who is eager to dive into the various advertising analytics and optimization challenges in our digital advertising business.
The Business Data Analyst Intern will serve the Advertising and Sales teams by analyzing our suite of products and their supporting data sources, using insights to help innovate and optimize our sales efforts. This analyst will partner with Ad Product, Sales, Ad Operations, Sales Operations, and Finance to better understand their specific needs to optimize their business. Candidates will learn to communicate effectively across advertising and technology departments, improve presentation skills, identify opportunities to increase advertising revenue, and learn about the print and digital advertising ecosystem from initial pitch to ad delivery.
About Our Summer Internships
- The duration is 10 weeks long, starting on June 2, 2025.
- The rate of pay for this role is $20.00 per hour.
- Interns work 35 hours per week.
- Open to Hybrid work based in New York.
Responsibilities:
- Analyze advertising and sales datasets to optimize overall performance. Develop, monitor, and analyze performance through dashboards and provide strategic optimization alerts and recommendations.
- Help define and develop requirements for analytics tools and reporting dashboards.
- Provide key business insights to senior sales and advertising leadership based on sales performance trends.
- Visualize key metrics on an ongoing basis to communicate out to product, sales, and exec teams.
- Partner and provide thoughtful and actionable analysis to Sales, Ad Innovation, and Product teams.
- Collaborate with cross functional groups including Ad Product, Ad Operations, Sales Operations, and Sales to identify key opportunities.
Basic Qualifications
- Pursuing an undergraduate or graduate degree in Economics, Statistics, Mathematics, or related field
- Experience using Excel, pivot tables, and Vlookups
Preferred Qualifications
- Experience with Tableau and SQL
REQ-017364
The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.
The New York Times Company is an Equal Opportunity Employer and does 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 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 will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable “Fair Chance” laws.
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