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The New York Times

Senior Analyst, Total Rewards

Salary$110k – $125k
LocationNew York, NY, New York, NY
Work modeon-site
Typefull-time
DepartmentCompensation and Benefits
EquityIncluded
Company size10,000+ people
First seen1mo ago
Last seen11h ago
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
As the Senior Analyst, Total Rewards (Data Insights & Modeling), you will be a strategic partner reporting directly to the SVP, Total Rewards. You will bridge the gap between complex data science and talent strategy, serving as a lead architect for our global compensation structures. You will go beyond traditional reporting to build and maintain the predictive models that forecast salary market movement, simulate compensation cycles, and drive pay equity outcomes. This position is pivotal in ensuring our compensation practices remain fair, equitable, and market-relevant, directly supporting our ability to attract and retain the world-class talent necessary to sustain The New York Times’s journalistic mission.
Responsibilities
•
Strategize design and maintenance of global compensation structures using advanced data science and predictive analytics.
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Develop sophisticated models for variable pay (AIP/LTI) and annual merit/bonus cycles under various business performance scenarios.
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Build predictive models to forecast salary market movement and internal budget requirements.
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Conduct statistically significant pay equity analyses to identify and remediate gaps across demographics.
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Build and maintain automated Total Rewards benchmarking tools and executive dashboards.
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Lead the advancement of data insight capabilities to support compensation analytics for the New York Times workforce.
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Manage participation in external compensation surveys, including job matching and data validation.
Basic Qualifications
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5–8+ years of experience in Compensation or Financial Planning & Analysis (FP&A), with at least 3 years focused on advanced modeling.
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Proficiency in statistical analysis (correlation and regression) and experience with HCM systems (e.g., Workday).
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Advanced proficiency in Excel (VBA, Power Query, Complex Nested Formulas) and data visualization tools (Tableau, Power BI, or Visier).
Preferred Qualifications
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Bachelor’s Degree in Human Resources or related field
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Experience with SQL, Python, or R.
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CCP (Certified Compensation Professional) or GRP certification.
REQ-#020512
Additional Compensation and Benefits
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, employee stock purchase 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 annual base pay range for this role is between:
$110,000—$125,000 USD
Candidate Use of GenAI Tools:
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.
Legal
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 [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
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 [email protected]. You can also file a report with the Federal Trade Commission or your state attorney general.
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