Senior HR Analytics Lead – Enterprise AI & Insights

Tiger Analytics Inc.; Parsippany-Troy Hills (NJ); Presencial; USD 140.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, Vision

Retirement Accounts

Discretionary time off

Descripción de la vacante

Tiger Analytics is seeking an HR Analytics Consultant to join our advanced analytics and AI team, supporting large enterprise clients. You will own end-to-end engagements, translate complex business problems into scalable analytics and AI solutions, and manage executive stakeholder relationships.

You will lead cross-functional delivery teams of data scientists, data engineers, and business analysts to ensure high-quality delivery.

Formación

• 9–12 years of professional experience with at least 5 years in HR analytics.
• Experience supporting enterprise HR data and analytics transformation initiatives.
• Strong understanding of HR metrics and KPIs (headcount, attrition, turnover).
• Ability to lead discovery workshops and engage senior HR and business leaders.

Responsabilidades

• End-to-End Engagement Ownership: take full accountability from inception to completion.
• Strategic Translation: translate business problems into viable analytics and AI solutions.
• Stakeholder Management: manage senior client stakeholders and ensure exceptional experiences.
• Cross-Functional Leadership: lead teams of data scientists, data engineers, and business analysts.

Conocimientos

HR analytics

HR data & analytics transformation

Stakeholder management

Cross-functional leadership

Discovery workshops

IT & Data Engineering collaboration

Educación

MBA or equivalent

Descripción del empleo

Tiger Analytics is seeking an HR Analytics Consultant to join our advanced analytics and AI team, supporting large enterprise clients. You will own end-to-end engagements, translate complex business problems into scalable analytics and AI solutions, and manage executive stakeholder relationships.

You will lead cross-functional delivery teams of data scientists, data engineers, and business analysts to ensure high-quality delivery.