Senior Analyst, Data & Insights, Growth (Conversion) at The New York Times

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

110000.0

Posted On

28 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, A/B Testing, Data Visualization, Mode, Tableau, Lookr, Google BigQuery, AWS, Github, DBT, Statistics, Gen AI Tools, Data Pipelining, Data Analysis

Industry

Newspaper Publishing

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 We are looking for a Senior Data Analyst who is passionate about data and eager for the opportunity to support the Times' journalistic mission. As part of the Data and Insights Group (DIG), you will join a large community of data analysts who partner with Product, Engineering, Design, and PMO teams across the business. You will be critical to achieving our subscription goals by unlocking insights, promoting data-driven decisions, and guiding our growth team toward opportunities. You will report to the Vice President, Growth Analytics. Responsibilities: You will write SQL to pipeline and analyze data You will develop dashboards to expand access to data and analytics You will perform data-oriented analyses and present them to high-level partners, helping guide team strategy You will run and deliver A/B test results, and providing scope and analysis 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: 3+ years of experience working with data analytics or data science teams to deliver analysis or a quantitative degree Proficiency in SQL and experience working with relational databases Proficiency in Python or R 1+ years of experience with A/B testing 1+ years of experience with data visualization tools such as Mode, Tableau, or Lookr Preferred Qualifications: Familiarity with Google BigQuery, AWS, or other big data environments Comfort with version control (Github, code review) Proficiency in DBT 1+ years of experience applying statistics to strategic problems Familiarity with using Gen AI–enabled tools for analytics and workflow acceleration (e.g., Claude Code, Cursor, Hex) REQ-020140 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.

Responsibilities

The role involves writing SQL to pipeline data, developing dashboards, and performing data-oriented analyses to guide growth strategy. The analyst will also run and deliver A/B test results to support subscription goals.