Senior Analyst, Data & Insights, Growth (Algorithmic Targeting)
ThenewyorktimesRole Overview
Thenewyorktimes is hiring a Senior Analyst, Data & Insights, Growth (Algorithmic Targeting). This is a full-time role in New York. posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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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 Times is looking for a creative 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 report to the Director of Growth Analytics and will be embedded in the Algorithmic Targeting (ALTA) team's Access & Messaging squad, which develops, deploys, tests, and analyzes machine learning models to drive reader engagement and subscription.
Responsibilities:
- You will write SQL to pipeline and analyze big 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 in slide decks and memos to guide team strategy
- You will run A/B Tests and provide scope and analysis
- You will deliver test analysis, advice on future tests and next steps
- You will produce insights, advocating for them and driving them into action
- You will work with analysts on other teams to understand ALTA's contribution to our goals and trends
- You will investigate and visualize relationships between our models' outputs and user segments and behavior, to motivate algorithm improvements
- 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 reporting, analysis and insight or a quantitative degree
- Proficiency in SQL and experience working with relational databases
- Proficiency in Python or R
- 1+ years of experience in A/B testing or experimental methods
Preferred Qualifications:
- Familiarity with Google BigQuery, AWS, or other big data environments
- Comfort with version control (Github, code review)
- 1+ years of experience with data visualization tools such as Mode, Tableau, or Lookr
- 1+ years of experience applying statistics to strategic problems
REQ-020121
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.
We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.
If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.
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.
About Thenewyorktimes
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Frequently Asked Questions
How do I apply for the Senior Analyst, Data & Insights, Growth (Algorithmic Targeting) position at Thenewyorktimes?
Use the Apply button above to submit your application directly to Thenewyorktimes. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Analyst, Data & Insights, Growth (Algorithmic Targeting) position at Thenewyorktimes located?
This position is based in New York. Thenewyorktimes has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Analyst, Data & Insights, Growth (Algorithmic Targeting) at Thenewyorktimes earn?
Thenewyorktimes has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Analyst, Data & Insights, Growth (Algorithmic Targeting) role at Thenewyorktimes posted?
This role was posted on July 8, 2026 (yesterday). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Analyst, Data & Insights, Growth (Algorithmic Targeting) role at Thenewyorktimes require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Thenewyorktimes lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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