People Data Lead

Hudson River Trading
New York, NY, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$225,000.0 - $275,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel A/B Testing Artificial Intelligence Spreadsheets Cluster Analysis Software Documentation Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL) Data Warehousing Factor Analysis
+10 more
HR Analytics Prism (Software) Web Applications Qualtrics Sql Optimization Large Language Models Prompt Engineering Synthesizing Data Data Pipelines Workday

Job description

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., * 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

Requirements

Do you have experience in Web-based survey tools?, Do you have a Bachelor’s degree in statistics?, * 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)

Benefits & conditions

The estimated base salary range for this position is $225,000-$275,000, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

About the company

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world’s most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

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