Senior Analyst, Messaging Analytics

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 seeking analytical talent to turn passion for data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG), you will join a large community of accomplished analysts who partner with Product, Engineering, and Design teams across the business. You will be embedded within our platforms teams and report to the Director, Data & Insights.

Responsibilities:

• You will write SQL, Python, DBT code to pipeline and analyze big datasets across multiple domains

• You will develop data models, pipelines, infrastructure, and metrics that create evergreen solutions and support the wider analytics team

• You will design and run A/B tests to quantify the effectiveness & business impact of platform enhancements

• You will perform strategic analysis to advise and influence our platform roadmaps

• You will build data visualizations and dashboards to expand self-service access to our insights

• You will develop insights on our push channel, helping to optimize platform capabilities that drive engagements & revenue

• 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:

• Advanced proficiency in SQL and experience working with cloud based relational databases (such as BigQuery)

• 3+ years of experience working in product analytics, data science or other data teams

• 3+ years of experience with data visualization tools such as Hex, LookML, PowerBI

• 3+ years of experience in at least one additional scripting language like Python, R, or JavaScript (Python preferred)

Preferred Qualifications:

• 1+ years of experience with version control (Github, code review)

• 1+ years of experience with experimentation and other statistical inference methods

• 1+ years of experience working in dbt

• 1+ years of experience working with a data notebook tools like Jupyter Notebooks

• Familiarity with email & push campaigns + product channel analytics.

REQ-019389

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 ( .

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 View email address on click.appcast.io. 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 View email address on click.appcast.io. You can also file a report with the Federal Trade Commission ( or your state attorney general ( .