Compensation Analyst

As a Compensation Analyst Senior , you will support compensation administration and analytics activities across the organization. You will work closely with HR partners and shared services teams to deliver insights related to incentives, bonuses and leadership compensation. This role provides hands‑on exposure to market benchmarking, job evaluation and compensation reporting in a global environment.

You will be part of a collaborative Compensation Analyst team that supports enterprise compensation programs at FIS. The team partners with HR and business leaders to ensure fair, competitive and data‑driven compensation practices. Together, the team focuses on analytics, market insights and continuous improvement of compensation processes.

Identify high‑volume, low‑value compensation processes (e.g., job reviews, promotion analysis, market pricing, FAQs) and redesign them using AI and automation

Partner with HR systems teams to embed AI‑assisted workflows into tools like Workday, dashboards, or intake models

Develop reusable AI prompts, decision aids, and self‑service tools for TPO/HRBPs/managers

Translate complex compensation data into clear executive narratives (what’s happening, why it matters, what to do)

Build materials for PLT/CHRO audiences: one‑slide insights, decision memos, scenario views

Create manager‑ and employee‑appropriate interpretations of rewards data that reinforce fairness, transparency, and consistency

Enable the Total Rewards team to work differently — fewer manual reviews, more product‑led solutions

Create guides, quick references, and training to help stakeholders adopt new tools and AI‑driven ways of working

Act as a translator between compensation SMEs, data/tech partners, and business leaders

2 to 3 years of experience in compensation, HR analytics or a related HR function.

Knowledge of compensation principles and employment practices.

Strong Microsoft Excel skills, including data analysis and reporting.

Experience working with HR systems; Oracle Human Capital Management preferred.

Strong analytical, communication and attention‑to‑detail skills.

Experience supporting incentive or variable pay programs.

Exposure to salary surveys or market benchmarking tools.

Experience working in a global or shared services environment.

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice .

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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