Compensation Specialist
Datadog · New York, New York, USA · People · listed October 7, 2026
The shape of it
Seniority
Mid level
Experience asked
3+ years
Where
Hybrid
Stated pay
$115,000 – $155,000 USD
Requirements listed
6
Length
1,117 words
In the posting’s own words
As a Compensation Specialist, you will contribute to the development and implementation of our compensation approach. You will collaborate with team members to develop analytics tools, automate legacy processes, and help build the future of our compensation strategy. The ideal candidate is enthusiastic, hardworking, and thrives on building business focused solutions through data.
What it asks for · 6
- 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
- Unmatched attention to detail; ensuring numbers are accurate & delivered on time to key partners
- High learning agility, flexibility, and quantitative problem-solving skills
Also a plus
- Consulting, Project Management or Analytics experience
- Experience building interactive / replicable dashboards using Tableau, Power BI, or other advanced analytic platforms
- Familiarity with Python, R, or SQL for data manipulation and automating repetitive workflows.
- Demonstrated experience developing and implementing scalable, repeatable processes backed by detailed ongoing documentation
What the job covers
- Evolve Compensation Strategy: Help us redefine and evolve how we believe about base, variable, and equity compensation structures
- 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
- Drive Automation: Streamline and automate monthly, quarterly, and annual compensation reporting and analysis using modern data tools and AI workflows
- Market Benchmarking: Conduct global market benchmarking, assess peer groups, and ensure consistent market pricing practices while maintaining internal equity.
- Storytelling with Data: Provide sophisticated compensation recommendations, clearly building data driven insights while tying it back to overall comp strategy
Degree language
- Bachelor’s degree, preferably in a quantitative-focused major (e.g., Finance, Data Analytics, Statistics, Economics)
Tools and skills named
Cloud & infra
- Datadog3×
Data
- Power BI
- Statistics
- Tableau
Operations & finance
- Project management2×
- Excel
Languages
- Python
- SQL
Ways of working
- Technical writing
Words the posting leans on
- compensation10×
- data9×
- analytics7×
- skills5×
- building4×
- experience4×
- market4×
- advanced3×
- build3×
- business3×
- develop3×
- insights3×
- processes3×
- actionable2×
- analysis2×
- automate2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Datadog
- Accounts Payable AnalystNew York, New York, USA
- AI Research Engineer - Datadog AI Research (DAIR)Paris, France
- AI Research Scientist - Datadog AI Research (DAIR)New York, New York, USA; Pittsburgh, Pennsylvania, USA
- AI Research Scientist - Datadog AI Research (DAIR)Paris, France
- Applied Science InternParis, France
- Commercial Account ExecutiveBangalore, India