Sobre este puesto de Senior Analyst, Total Rewards en The New York Times
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
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.
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