SENIOR COMPENSATION ANALYST
$150,000–$200,000 year
On-siteDeerfield Beach, Florida, United States
Job Summary
Develop dashboards, reports, and metrics to support benchmarking, leveling, grading, and budgets for the Polyglass business unit serving nearly 700 employees. Create workflows for compensation activities, manage budgets and headcount, and generate data for new hire offers to guide talent acquisition. Analyze markets using salary surveys and evaluate roles for proper compensation structures and FLSA compliance. Manage complex data transfers between spreadsheets, HCM systems, and payroll platforms, while overseeing internal and external audits. Present findings to executive teams and assist in bonus, merit, and cost modeling processes to ensure competitive market alignment.
Required Qualifications
- 7+ years' experience in compensation analysis
- Bachelor's Degree in Human Resources Management, Business, Finance, Data Management or related field
- Expert level Excel skills required including strong knowledge and experience in the following functions: index and match, power queries, pivot tables
- Data Management. Experience in pooling data from various sources, data warehousing, data analytics, reporting
- Experience with a variety of compensation models including, but not limited to exempt, non-exempt, direct labor, overtime, executive compensation, variable compensation, bonuses (short-term incentives, sales, etc.), performance-based merit, sales, commissions, etc.
- Experience with payroll systems (ADP/WFN)
- Experience in working for a manufacturing company preferred but not required
Desired Qualifications
- Certifications: CCP strongly desired. Coursework from ERI, World at Work
- Experience in HR analytics are preferred but not required
- Experience with various systems and ensure proper 'communication' / data transfer between them as needed
- Technical Skills (Software and Systems): HR systems including HCM/HRIS (Oracle, ADP strongly preferred), MS 365 with a focus on Teams, PowerPoint and Excel
- Data Mgt tools: Power BI and other tools
- Experience in working for a manufacturing company preferred but not required
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