Description
The Total Rewards Delivery Team is the operational engine behind the organization’s Total Rewards strategy—responsible for the seamless execution of compensation, benefits, and well-being programs that attract, retain, and support our talent. This team ensures that all Total Rewards programs are delivered with a focus on accuracy, compliance, efficiency, and employee care.
As a Senior Analyst, Compensation Delivery you will support the execution of core compensation processes and operations. The ideal candidate will be responsible for managing data workflows, creating reports and dashboards, and partnering with cross-functional teams to deliver timely, accurate compensation transactions and insights.
Key Responsibilities:
* Support the delivery of annual compensation cycles, including data prep, system uploads, validation, and post-cycle audits.
* Maintain and analyze compensation data across HR systems (e.g., Workday, Beqom) to ensure accuracy and readiness for planning processes.
* Manage and optimize Job Architecture Management (JAM) process in Workday
* Generate reporting for HR, Finance, and Compensation partners; assist in dashboards and ad hoc analysis.
* Partner with internal stakeholders to support global compensation deliverables (e.g., bonus payouts, equity refresh, off-cycle requests).
* Document and optimize compensation delivery processes and standard operating procedures.
* Participate in system testing, enhancements, and troubleshooting for compensation tools.
* Help support the compensation aspects of M&A activities, such as data collection and harmonization support.
Qualifications:
* Bachelor’s degree in Business, HR, Finance, or related field.
* 3–5 years of experience in compensation, HR operations, or data analytics.
* Familiarity with HRIS and compensation systems (e.g., Workday, Beqom, SAP).
* Strong Excel skills; experience with Power BI or similar tools a plus.
* Ability to manage multiple deliverables and meet tight deadlines.
* Strong analytical skills with high attention to detail and data integrity.
* Experience with AI tools (Slack AI, Agents, etc.) strongly preferred.