Compensation Analyst
FIS · Bengaluru · onsite · Posted 65d ago
Undisclosed2–3 yrsfulltimeSourced from
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About this role
As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, wed like to ask you: Are you FIS
About the Role
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 handson exposure to market benchmarking, job evaluation and compensation reporting in a global environment.
About the Team
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 datadriven compensation practices. Together, the team focuses on analytics, market insights and continuous improvement of compensation processes.
What You Will Be Doing
1. AIEnabled Process Optimization
- Identify highvolume, lowvalue 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 AIassisted workflows into tools like Workday, dashboards, or intake models
- Develop reusable AI prompts, decision aids, and selfservice tools for TPO/HRBPs/managers
2. Data & Insights (Storytelling First)
- Translate complex compensation data into clear executive narratives (whats happening, why it matters, what to do)
- Build materials for PLT/CHRO audiences: oneslide insights, decision memos, scenario views
- Create manager and employeeappropriate interpretations of rewards data that reinforce fairness, transparency, and consistency
3. Compensation Support & Thought Partnership
- Support core compensation activities (structures, promotions, incentives, pay equity) with strong analytical grounding
- Partner with Compensation Leaders to pressuretest recommendations using data, scenarios, and benchmarks
- Help connect job architecture (e.g., outcomes, capabilities, stages) to pay decisions and business outcomes
4. Enablement & Adoption
- Enable the Total Rewards team to work differently fewer manual reviews, more productled solutions
- Create guides, quick references, and training to help stakeholders adopt new tools and AIdriven ways of working
- Act as a translator between compensation SMEs, data/tech partners, and business leaders
What You Will Need
- 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 attentiontodetail skills.
Added Bonus If You Have
- Experience supporting incentive or variable pay programs.
- Exposure to salary surveys or market benchmarking tools.
- Experience working in a global or shared services environment.
What We Offer You
At FIS, you can learn, grow and make an impact in your career. Our benefits include:
- Flexible and creative work environment
- Diverse and collaborative atmosphere
- Professional and personal development resources
- Opportunities to volunteer and support charities
- Competitive salary and benefits
Privacy Statement
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 .
Sourcing Model
#pridepass
Sourced from naukri
Skills
AutomationStorytellingCHROShared ServicesMarket InsightsJob Evaluationprocess optimizationHr Systemscapital managementWorkdayAnalyticsOracle DBFintechArchitectureAdministrationEquitydata analysisArtificial IntelligenceHR Analytics