Most Loved Workplace® Certified JobSenior Talent Planning Analyst
Assessed by Most Loved Workplace®About the Role
At Datadog, a Most Loved Workplace® certified employer in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.
<p>The People Analytics Team at Datadog uses data to help our growing organization make better people decisions.</p>
<p>We're expanding our workforce planning capabilities to support how we grow and structure our teams. In this role, you'll help build and maintain the data foundation behind our headcount and capacity models, partnering with FP&amp;A, Recruiting, and PBPs to keep workforce planning grounded in clean, trustworthy data.&nbsp;</p>
<p><em>At Datadog, we place value in our office culture – the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</em></p>
<p><strong>What You'll Do:</strong></p>
<ul>
<li>Automate and expand Datadog’s headcount-driven capacity modeling, improving the underlying data pipelines and insights that they surface</li>
<li>Build and maintain data models covering headcount, positions, and hiring pacing, keeping them accurate as business context changes</li>
<li>Own the position data audit process, establishing and maintaining a source of truth for open, filled, and planned positions across the business</li>
<li>Support workforce forecasts by analyzing attrition, mobility, hiring, and promotion trends in partnership with the broader People Analytics Insights team</li>
<li>Partner with our People Tech teams (HRIS, Recruiting Ops, developers) to shape the headcount management tech roadmap, driving for infrastructure and tooling that reduces friction and unlocks better data</li>
<li>Serve as a point of contact for stakeholder questions on workforce planning data, handling day-to-day communications and support requests</li>
<li>Contribute to the overall maturity of workforce planning at Datadog by improving how data is sourced,
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