What are the responsibilities and job description for the Compensation Specialist position at Coda Search│Staffing?
Our client is a high-growth, global alternative investment management firm with a dynamic and entrepreneurial culture. With a diverse portfolio across private equity, credit, real assets, and hedge fund strategies.
The Opportunity
They're seeking a strategic, analytical, and detail-oriented Compensation Analyst to join our global Total Rewards team. This is a high-impact role offering the opportunity to shape compensation strategies that attract, retain, and motivate top-tier talent across our global offices. You’ll play a key role in driving data-informed decisions and aligning compensation programs with firm-wide business objectives.
Key Responsibilities
- Partner with HR and business leaders to provide strategic compensation guidance across all business units and geographies.
- Analyze market trends and benchmark compensation data to inform base salary, bonus, and equity program recommendations.
- Support the design and implementation of annual compensation processes, including year-end reviews, bonus planning, and long-term incentive modeling.
- Develop and maintain compensation dashboards, analytics, and reporting to drive insight and visibility for senior leadership.
- Ensure compliance with global compensation regulations and evolving best practices.
- Contribute to compensation-related communications and education efforts across the firm.
What You Bring
- 3–7 years of progressive experience in compensation, total rewards, or financial analysis — ideally within financial services, consulting, or high-growth global firms.
- Strong analytical skills with the ability to synthesize complex data into actionable insights.
- Advanced Excel skills; experience with HRIS systems (Workday, SuccessFactors, etc.) and compensation platforms a plus.
- Solid understanding of compensation theory, benchmarking, and regulatory considerations.
- Exceptional attention to detail and a high level of discretion with sensitive data.
- Collaborative mindset with strong communication and stakeholder management skills.