People Data Lead

Hudson River Trading•New York, NY

3d•$225,000 - $275,000

About The Position

Hudson River Trading (HRT) is seeking a People Analytics Lead to own the strategic direction and operational maturity of the People Analytics function. This role is responsible for transforming People Analytics at HRT into an insights-driven strategic partner that delivers analytics products to the People Operations team and the broader organization. The People Analytics Lead will architect our people data infrastructure, update governance standards, build dashboards and predictive models, and serve as the primary people analytics advisor to the business.

Requirements

Bachelor's degree in a quantitative field (e.g., I/O Psychology, Statistics, Data Science, Economics); Master's degree in People Analytics, Applied Statistics, Data Science, or an analytics-focused MBA strongly preferred
10+ years progressive people analytics experience
5+ years leading or managing an analytics team (strategy, mentoring, executive presentation)
5+ years embedded within or alongside HR, with expertise across the full employee lifecycle (talent acquisition, engagement, performance, compensation, retention, planning)
Experience supporting 1,000+ global or multi-site workforce preferred
Expertise in regression, modeling, clustering, factor analysis, and A/B testing for workforce questions
Ability to drive AI/LLM solutions for data synthesis and workforce storytelling, with proven prompt engineering skills to automate data requests and executive summaries
Experience with advanced SQL (complex joins, CTEs, window functions) and proficiency in Python/R for statistical modeling and data pipeline automation
Experience building and maintaining a people data warehouse
Deep mastery of Workday analytics (Advanced/Matrix Reporting, Calculated Fields, Prism)
Working knowledge of ETL/ELT
Strong Excel/Google Sheets skills for ad-hoc analysis; ability and desire to reduce spreadsheet dependency
Familiarity with survey platforms (Qualtrics, Culture Amp, Glint) and data integration
Familiarity with multi-country data privacy regulations (GDPR, CCPA)

Responsibilities

Design and deliver periodic people analytics insights and reporting covering standard people metrics, tailored both for leadership and company-wide consumption
Build predictive models for projections such as headcount growth and time-to-fill forecasting
Establish a standardized metrics library with clear definitions, data sources, calculation methodologies, and refresh cadences
Architect and govern a single source of truth for people data, replacing fragmented spreadsheets with a structured, auditable data repository
Develop and maintain automated dashboards that refresh on schedule and serve self-service needs for People Ops and managers
Translate complex analytical findings into clear, actionable narratives for non-technical audiences, linking data to business outcomes
Conduct deep-dive investigations into workforce trends and present findings
Partner with other teams to integrate people data with financial and operational datasets for cross-functional insights
Set analytics roadmap aligned to People Operations and business strategy, managing competing priorities with a clear intake and prioritization process
Manage, mentor, and develop the People Analytics team, building technical skills and business acumen across the team
Establish data governance policies including data access controls, privacy compliance, documentation standards, and quality assurance processes
Drive stakeholder engagement by proactively identifying high-value analytics opportunities and building trust through consistent, reliable delivery
Champion a culture of data literacy across the People Ops function and broader organisation through training, enablement sessions, and accessible reporting