People Data Lead (People Analytics)

Location: New York, NY, United States

Salary: $225,000–$275,000 annually, plus discretionary performance-based bonuses and benefits.

Company

hirify.global is a quantitative trading company that applies scientific methods and sophisticated computing to financial markets and business operations.

What you will do

• Set the strategic direction and roadmap for the People Analytics function.
• Deliver workforce insights, reporting, dashboards, and actionable narratives for leadership, People Operations, and managers.
• Build predictive models for headcount growth, time-to-fill forecasting, and workforce trend analysis.
• Define and govern a single source of truth for people data, including the data model, schema, metric library, and warehouse requirements.
• Partner with data engineering to build and maintain an auditable people data repository and integrate people data with financial and operational datasets.
• Manage and develop the People Analytics team while establishing governance, privacy, quality assurance, and data-literacy practices.

Requirements

• Bachelor’s degree in a quantitative field such as I/O Psychology, Statistics, Data Science, or Economics.
• 10+ years of progressive people analytics experience, including 5+ years leading an analytics team and 5+ years working alongside HR across the employee lifecycle.
• Expertise in regression, modeling, clustering, factor analysis, and A/B testing for workforce questions.
• Proficiency in SQL and Python or R, including statistical modeling, automation, complex joins, CTEs, and window functions.
• Experience defining and governing people data warehouses in partnership with data engineering, without needing to build the data pipelines directly.
• Experience with Workday Analytics, including Advanced or Matrix Reporting, Calculated Fields, and Prism.

Nice to have

• Relevant master’s degree or analytics-focused MBA.
• Experience supporting a workforce of 1,000+ employees across multiple countries or sites.
• Experience driving AI/LLM solutions for data synthesis and workforce storytelling.
• Familiarity with Culture Amp, Greenhouse, other People platforms, and multi-country privacy regulations such as GDPR and CCPA.

Culture & Benefits

• Scientific, research-oriented approach to algorithmic trading and automation.
• Culture of openness, transparency, collaboration, and inclusion.
• Competitive benefits package and eligibility for discretionary performance-based bonuses.
• Global office network and a diverse workforce.
• AI tools are prohibited during interviews or assessments unless explicitly approved.