People Analytics Specialist

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

JOB SUMMARY

As our Principal People Analytics Specialist, you’ll build and lead our People Analytics function - turning workforce data (attrition, cost of workforce, organizational health, and beyond) into signals that shape how Apptronik makes talent and business decisions. You’ll set the analytics strategy, own the data governance foundation it runs on, and act as the go-to analytics advisor for senior and executive leadership. This is a builder role; you’ll define how the function operates today and where it scales next.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• People Analytics

• Own the People Analytics strategy and multi-year roadmap

• Lead advanced statistical and predictive modeling (attrition risk, workforce planning, organizational health forecasting), translating findings into clear, decision-ready narratives for the executive team and board

• Define and maintain the company's north-star workforce metrics and KPI framework

• Build and maintain the dashboards, reports, and standardized reporting processes that power People team decision-making

• Serve as principal analytics advisor to senior/executive leadership on org design, talent strategy, and workforce planning

• Set technical direction, best practices, and mentorship for People Analytics work

• Data Governance

• Define, own, and evolve the enterprise People data governance framework, including data standards, definitions, ownership, and quality SLAs across all people systems

• Own the data classification and sensitive-data handling strategy for people data, ensuring compliance with GDPR, CCPA, and other applicable regulations

• Set the long-term roadmap for people-data architecture, partnering with IT and Data Engineering

• Partner with IT to manage system security, access controls, and technical data integrations