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 us on our Subscriber Analytics team within the Data and Insights Group (DIG). This is a collaborative role where you'll partner with teams across DIG, Finance and Strategy to develop cross-mission alignment and standardization of reporting metrics that informs both team level and enterprise level strategy. You will also partner with our Data Platforms and engineering teams to develop high quality data systems and pipelines that support centralized reporting needs across the organization. You will report to the Director, Subscriber Reporting & Analytics.
Responsibilities:
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You will develop a holistic view of business performance by connecting Subscriber Growth and Revenue insights and deliver actionable recommendations to leadership
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You will collaborate with a range of DIG partners including analysts, engineers, project managers and operationalists on projects and analyses that span multiple missions
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You will work with the Finance and Strategy teams to develop external reporting shared with the Board and Wall Street, serving as a single source of subscriber and revenue growth
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You will build and support centralized reporting on subscriber metrics to be used across missions, with a view to democratize data and insights through skillful data pipelining and use of visualization tools
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You will support efforts to improve the efficiency and accessibility of subscriber data used by analysts and non-analysts across the organization
Basic Qualifications:
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1+ years of experience working with data teams to deliver reporting and analysis OR a quantitative degree or certification.
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Proficiency in SQL and experience working with relational databases
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1+ years of experience in data tools such as Mode, Looker, Tableau, Airflow, or github
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1+ years of experience working in big data environments such as BigQuery or dbt, querying 10M+ rows
Preferred Qualifications:
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1+ years of Experience with subscription or revenue metrics
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Python or R experience
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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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