Senior Analyst, Data & Insights, Growth (Algorithmic Targeting)

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

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.

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 ( .

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