Lead Compensation Analyst
New
H
HubSpotSoftware
Remote - IrelandFull-TimeLead
Salary74,600 - 119,400 EUR per year
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Job Details
- Required Skills
- Microsoft ExcelGoogle SheetsWorkday
Requirements
- Deep knowledge of the EU Pay Transparency Directive and its implications for compensation programs.
- Strong understanding of US and international statutory pay reporting, including gender pay gap obligations.
- Hands-on experience with compensation and survey tools (Pave, Compa, Comptryx, Radford, Workday preferred).
- Advanced analytical skills with experience building models and working with large datasets.
- Proficiency in Excel or Google Sheets; experience with visualization tools (Tableau, Looker) is a plus.
- Exceptional attention to detail with a commitment to data accuracy and compliance.
- Strong project management skills with the ability to manage multiple concurrent deadlines.
- Effective written and verbal communication skills for non-technical stakeholders.
- Bachelor’s degree in human resources, business, finance, or equivalent professional experience.
- Certified Compensation Professional (CCP) designation preferred.
Responsibilities
- Own the end-to-end process for all statutory pay reporting obligations in the US and internationally.
- Serve as internal expert on the EU Pay Transparency Directive, translating requirements into actionable processes.
- Manage annual and ad-hoc salary survey submissions across providers including Radford and Comptryx.
- Act as the primary Compensation Systems SME for Pave, Compa, Comptryx, Radford, and Workday.
- Partner with Legal, HR, and Finance to ensure pay reporting deliverables meet country-specific requirements.
- Conduct ongoing analysis of compensation data to identify trends, gaps, and equity concerns.
- Support the design, documentation, and maintenance of compensation policies and SOPs.
- Collaborate with People Business Partners to educate and advise on pay transparency requirements.
- Develop and maintain dashboards and reporting tools for real-time compensation data visibility.
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