Project Employee, People Insights Specialist

NBP NBA Properties Inc•New York, NY

41d•$98,000 - $115,000•Hybrid

About The Position

Leverage advanced analytics and consulting expertise to empower HR with actionable insights, predictive models, and scalable self-service tools. Drive workforce health by identifying risks, enabling data-informed decisions, and collaborating across prioritized areas of HR to deliver impact.

Requirements

2+ years in HR analytics, HR data science, HR business intelligence, and/or HR consulting roles.
Demonstrated ability designing analytical solutions that influenced business strategy and/or HR decision-making.
Track record managing technical projects requiring stakeholder translation and change management.
Excellent organizational skills with attention to detail.
Quantitative analysis skills including statistical methods and trend identification.
Advanced Excel including pivot tables, complex formulas, and statistical functions.
Data storytelling ability translating technical findings into executive narratives with recommendations and compelling data visualizations.
Interest in Responsible AI practices.
Consulting skills diagnosing problems, structuring ambiguous questions, and managing stakeholder expectations.
Business acumen connecting workforce metrics to financial outcomes and strategic HR priorities.
Experience with Tableau, Power BI, or similar platforms required.

Nice To Haves

Python or R exposure for data manipulation or analysis a plus.

Responsibilities

Serve as a strategic analytics consultant, partnering with HR to deliver actionable insights, predictive models, and scalable tools to guide interventions.
Support responsible AI governance in People Analytics by documenting people analytics and broader HR use cases, testing functionality, gathering requirements, and other steps.
Assist in the building of analytical frameworks measuring workforce health across turnover, engagement, performance, promotions, and other key HR areas.
Help develop validation of algorithmic outputs from AI-enabled talent platforms ensuring statistical rigor and fairness.
Design automated monitoring systems surfacing leading indicators of workforce risk.
Contribute to development of predictive models identifying which key workforce areas are likely to decline on prioritized metrics.
Create dashboards and concise presentations synthesizing complex workforce patterns into decision-ready intelligence.
Conduct diagnostic analyses translating business questions into testable hypotheses and recommendations using statistical methods.
Enhance analytics team capability building through methodology documentation and knowledge sharing.
Scale data literacy across HR through training delivery and documentation.