Datadog
Compensation Specialist
New York, New York, USA · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($115,000) is below the Level I prevailing wage of $129,189. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Compensation and Benefits Managers (11-3111) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 100%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- If you are a problem solver with strong analytical prowess, excellent communication skills, and a genuine passion for data, this role is for you.
Responsibilities
- Advanced Analytics: Apply quantitative and qualitative analysis to identify problems, develop hypotheses, and recommend data-backed solutions for compensation programs and processes
- Data Visualization & Modeling: Build and develop dynamic dashboards and analytic models to provide actionable business insights and interpret market or internal trends
- Storytelling with Data: Provide sophisticated compensation recommendations, clearly building data driven insights while tying it back to overall comp strategy
- ensuring numbers are accurate & delivered on time to key partners
- Unmatched attention to detail; ensuring numbers are accurate & delivered on time to key partners
- Experience building interactive / replicable dashboards using Tableau, Power BI, or other advanced analytic platforms
- Demonstrated experience developing and implementing scalable, repeatable processes backed by detailed ongoing documentation
- Product training to develop understanding of our product and space
- Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
Requirements
- Bachelor's degree, preferably in a quantitative-focused major (e.g., Finance, Data Analytics, Statistics, Economics)
- A minimum of 3+ years of experience in business analytics, finance or a related field in a fast-growing environment
- Advanced proficiency in Excel (complex formulas, VBA, Power Query)
- Exceptional written and verbal communication skills with the ability to translate complex data into clear, actionable insights
- Familiarity with Python, R, or SQL for data manipulation and automating repetitive workflows.
Skills
- Opportunity:
Compensation
- $115,000-$155,000 USD
- $116,000 - $155,000 USD
- Drive Automation: Streamline and automate monthly, quarterly, and annual compensation reporting and analysis using modern data tools and AI workflows
Benefits
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Datadog offers a competitive salary and equity package.
Company info
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
- We are looking for a creative, data-driven Compensation Specialist to join our team.
Visa & Work Authorization
- opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics
This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.