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Associate Director People Analytics

Frazer Jones
York, NY Full Time
POSTED ON 4/25/2026
AVAILABLE BEFORE 5/24/2026

Associate Director, People Analytics


Location: New York, NY (Hybrid)

Experience: 6 years

Reports to: Head of Workforce Analytics


About the Role

The Associate Director of People Analytics will play a critical role in shaping how the organization uses data to understand, plan, and optimize its workforce. This leader will partner closely with HR, Finance, and business stakeholders to deliver insights that drive strategic decision‑making in a rapidly scaling environment.

We’re looking for someone who thrives in high‑growth settings—ideally from tech or financial services—who can blend analytical rigor with strong storytelling and stakeholder influence.


Key Responsibilities

  • Lead the design, development, and delivery of people analytics dashboards, reports, and insights across the employee lifecycle.
  • Partner with the Head of Workforce Analytics to define the analytics roadmap and elevate data-driven decision-making across HR and business units.
  • Translate complex workforce data into clear, actionable insights for senior leadership.
  • Build and maintain scalable data visualization products using Power BI, Tableau, or similar tools.
  • Conduct advanced analyses (e.g., attrition modeling, workforce planning, talent flow analysis, DEI metrics).
  • Collaborate with HRIS, Finance, and Data Engineering teams to ensure data quality, governance, and integration.
  • Support the development of predictive and prescriptive analytics capabilities.
  • Mentor junior analysts and contribute to building a high-performing analytics culture.


Qualifications

  • 6 years of experience in people analytics, workforce analytics, HR analytics, or a related data-focused role.
  • Background in high-growth tech or financial services strongly preferred.
  • Advanced proficiency in data visualization tools (Power BI, Tableau, etc.).
  • Strong SQL skills and comfort working with large, complex datasets.
  • Experience with statistical analysis, forecasting, or predictive modeling (Python or R a plus).
  • Ability to communicate insights to both technical and non-technical audiences.
  • Strong business acumen and the ability to influence senior stakeholders.
  • Comfortable operating in a fast-paced, evolving environment.

Salary : $150,000 - $200,000

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