TN
Senior Analyst, Total Rewards
The New York Times
Overview
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.
Benefits, from the posting itself
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restricted stockreceipt ⟳
“dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock.”
medical, dental and vision benefitsreceipt ⟳
“Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee sto”
company-matching 401(k)receipt ⟳
“Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee sto”
employee stock purchase planreceipt ⟳
“Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee sto”
paid vacationreceipt ⟳
“Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee sto”
Key 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.
Key Requirements
- 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).
- Bachelor’s Degree in Human Resources or related field
- Experience with SQL, Python, or R.
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