Compensation Analyst; Short Term Position

Foster cross functional partnership with Meta recruiting teams and partner with recruiting to develop offers

Collaborate with partners and stakeholders on project delivery, managing multiple work streams and competing priorities by breaking down complex problems into AI-solvable components and iterating with AI to generate and refine solutions

Model a growth mindset when advising cross-functional partners on complex matters by actively seeking new AI knowledge and skills to understand and leverage emerging technologies, using AI to unblock work beyond traditional role boundaries and innovate in rapidly evolving or unclear situations, and sharing learnings to help scale AI adoption and skill development

Lead with internal and market insights to drive compensation solutions with clients, providing project leadership and delivering key outcomes by simplifying work through action-oriented, AI-integrated workflows

Develop compensation models and conduct statistical analysis by orchestrating multiple AI tools and agents in parallel, leveraging prompt engineering skills and an understanding of tool limitations

Demonstrate a thorough understanding of our data sources and collection methods through measurable AI-specific impact by delivering improved quality and outcomes and clearly communicating how AI contributed to results

Work with large amounts of data and build mechanisms to streamline processes and balance risks by redesigning workflows from the ground up to fully leverage AI functionality, using AI responsibly and ethically to protect people, data, and IP through policy-compliant practices and validation of outputs

Bachelor's degree in Human Resources, Business, Humanities, Social Sciences, or equivalent practical experience

2+ years of experience in compensation, recruiting, project management, relationship management, or equivalent combination of education/practical experience

Demonstrated experience working with large datasets and performing quantitative analysis

Proven experience managing multiple projects simultaneously in a deadline-driven environment

Foundational knowledge of AI tools and experience integrating them into work processes

Advanced technical skills (SQL, statistical analysis tools)

AI sophistication (prompt engineering, workflow automation, output validation)

Proven business partnership and communication skills

Demonstrated learning agility and growth mindset