Senior Analyst, Total Rewards

The New York Times; New York (NY); On-site; USD 110,000 - 125,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) plan with company matching

Employee stock purchase plan

Paid vacation

Paid sick days

Parental leave

Tuition reimbursement

Professional development programs

Job summary

The New York Times is seeking a Senior Analyst, Total Rewards (Data Insights & Modeling) to serve as a strategic partner reporting to the SVP, Total Rewards. You will bridge data science with talent strategy, architecting global compensation structures and building predictive models for salary market movement and pay equity.

You will lead advanced analytics for variable pay, merit cycles, benchmarking tools, and compensation surveys, ensuring fair and market-relevant practices to attract and

Qualifications

• 5–8+ years of experience in Compensation or FP&A, with at least 3 years focused on advanced modeling.
• Proficiency in statistical analysis and experience with HCM systems (Workday).
• Advanced Excel skills (VBA, Power Query, complex formulas) and data visualization tools.

Responsibilities

• Strategize design and maintenance of global compensation structures using advanced data science and predictive analytics.
• Develop sophisticated models for variable pay (AIP/LTI) and annual merit/bonus cycles under various business performance scenarios.
• Build predictive models to forecast salary market movement and internal budget requirements.
• Conduct statistically significant pay equity analyses to identify and remediate gaps across demographics.
• Build and maintain automated Total Rewards benchmarking tools and executive dashboards.
• Lead the advancement of data insight capabilities to support compensation analytics for the NYT workforce.
• Manage participation in external compensation surveys, including job matching and data validation.

Skills

Statistical analysis

Workday

Excel VBA

Data visualization

Education

Bachelor’s Degree in Human Resources or related field

CCP/GRP certification

Tools

SQL

Python

R

Workday

Tableau

Power BI

Visier

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

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.
• Develop sophisticated models for variable pay (AIP/LTI) and annual merit/bonus cycles under various business performance scenarios.
• Build predictive models to forecast salary market movement and internal budget requirements.
• Conduct statistically significant pay equity analyses to identify and remediate gaps across demographics.
• Build and maintain automated Total Rewards benchmarking tools and executive dashboards.
• Lead the advancement of data insight capabilities to support compensation analytics for the New York Times workforce.
• Manage participation in external compensation surveys, including job matching and data validation.

Basic Qualifications

• 5–8+ years of experience in Compensation or Financial Planning & Analysis (FP&A), with at least 3 years focused on advanced modeling.
• Proficiency in statistical analysis (correlation and regression) and experience with HCM systems (e.g., Workday).
• Advanced proficiency in Excel (VBA, Power Query, Complex Nested Formulas) and data visualization tools (Tableau, Power BI, or Visier).

Preferred Qualifications

• Bachelor’s Degree in Human Resources or related field
• Experience with SQL, Python, or R.
• 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.
• 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
• professional development programs

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.

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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