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Salary: USD 134,000 - 179,000 / annual
Datadog's People Analytics Team is seeking a Senior Talent Planning Analyst to expand workforce planning capabilities and support organizational growth. You will build and maintain the data foundation behind headcount and capacity models, partnering with FP&A, Recruiting, and People Business Partners to ensure workforce planning is grounded in clean, trustworthy data.
Key responsibilities include:
- Automate and expand headcount-driven capacity modeling, improving underlying data pipelines and insights
- Build and maintain data models covering headcount, positions, and hiring pacing as business context evolves
- Own the position data audit process, establishing a source of truth for open, filled, and planned positions across the organization
- Support workforce forecasts by analyzing attrition, mobility, hiring, and promotion trends in partnership with the People Analytics Insights team
- Partner with People Tech teams (HRIS, Recruiting Ops, developers) to shape the headcount management tech roadmap
- Serve as a point of contact for stakeholder questions on workforce planning data, handling day-to-day communications and support requests
- Contribute to the overall maturity of workforce planning by improving how data is sourced, modeled, and shared
- Run external benchmarking analyses to inform headcount planning by researching labor market data and publishing findings for stakeholders
Datadog operates as a hybrid workplace, valuing office culture for collaboration and creativity while enabling work-life harmony.
Requirements:
- 5+ years of experience in workforce planning, people analytics, FP&A, or a related analytical role
- Experience building or maintaining financial/headcount forecasting models, translating trends into forward-looking projections for capacity planning
- Proficiency in SQL and other data analysis tools, as well as dashboarding and standard BI tools such as Tableau
- Familiarity with position management concepts, ideally in Workday or a comparable HRIS
- Strong attention to data quality and detail; proactive in catching inconsistencies
- Clear communicator who can explain data and findings to non-technical stakeholders
- Comfortable using AI tools (e.g., Claude, ChatGPT) to speed up analysis, automate repetitive workflows, and surface insights
