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
The New York Times is looking for an Analyst to join our Audience Team.
As part of the Audience Analytics team, you will work directly with newsroom partners to help uncover meaningful patterns from our data, engineer data solutions, and develop data infrastructure. You will contribute to the team’s work in establishing metrics, frameworks, and tooling that provide the newsroom with deeper insight into our audience, coverage, and promotion strategy. You will be a curious and collaborative team player who understands the importance of consistent analytic delivery to support the Times mission. You will report to our Audience Analytics Manager.
Responsibilities:
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You will work with company partners to understand Audience challenges and develop data-driven solutions
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You will code in R to analyze data, build data visualizations and automated reporting infrastructure.
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You will write SQL to build pipelines, reporting architecture, and analyze large datasets.
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You will support data-oriented analyses to be presented to senior leadership in slide decks and memos.
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You will develop and maintain complex spreadsheets (using functions and macros) and dashboards to expand access to data and analytics.
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Occasionally help produce insights for our daily morning news meeting, with the ability to work as early as 7 A.M. EST.
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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:
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1+ years of experience working with data analytics or data science teams to deliver analysis
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1+ years of experience in at least one additional scripting language like R, Python, or JavaScript (R preferred)
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Experience with data visualization and presenting insights from data
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Proficiency in SQL and experience working with relational databases
Preferred Qualifications:
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Comfort with version control (Github, code review)
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Experience with ggplot and tidyverse
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Experience or familiarity with analyzing media industry trends
REQ-017518
#LI-Hybrid
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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