Senior Specialist, Total Rewards Analytics

Jobtailor

Chennai District

On-site

INR 1,200,000 - 2,000,000

Full time

7 days ago

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Job summary

Jobtailor is seeking a Total Rewards Analytics professional to deliver predictive analyses and executive-ready insights. The role focuses on compensation, benefits, pay equity, and workforce trends using Power BI, Tableau, and Visier across multi-market datasets.

You will drive data-driven decisions and support annual and off-cycle planning with Oracle HCM. Ideal candidates have 5+ years in Total Rewards analytics, strong Excel and scripting skills, and the ability to translate complex data into

Qualifications

Bachelor's Degree in HR, Business Admin, Data Analytics, Statistics, Finance, or related field.

Responsibilities

Deliver deep-dive, predictive, and trend analyses across Total Rewards programs.
Design, build, and maintain interactive Power BI dashboards tracking compensation and benefits metrics, pay competitiveness, pay equity, and workforce trends.
Develop visualizations supporting executive decision-making.
Analyze large and complex datasets to identify patterns, trends, and opportunities.
Evaluate compensation structures and perform budget impact analyses.
Translate findings into executive summaries, visual reports, and actionable recommendations.
Lead end-to-end external market survey management, including data collection, job matching, validation, benchmark submissions, and participation.
Present compensation and benefits insights to leadership and support strategic decision-making.

Skills

Power BI

Tableau

Visier

SQL

Python

Excel

Power Pivot

Data Visualization

Data Analysis

Scenario Analysis

Problem-Solving

Attention to Detail

Communication

Self-Direction

Education

Bachelor's Degree in HR / Analytics

Tools

Oracle HCM

Power BI

Tableau

Visier

Power Query

Job description

Deliver deep-dive, predictive, and trend analyses across Total Rewards programs
Design, build, and maintain interactive Power BI dashboards tracking compensation and benefits metrics, pay competitiveness, pay equity, and workforce trends
Develop visualizations supporting executive decision-making
Analyze large and complex datasets to identify patterns, trends, and opportunities
Evaluate compensation structures and perform budget impact analyses
Translate findings into executive summaries, visual reports, and actionable recommendations
Improve and automate data preparation routines and analytical workflows
Conduct quantitative modeling and scenario analyses for compensation and benefits programs
Provide analytical support for salary structures, promotion guidelines, off-cycle adjustment tools, and Total Rewards policies
Lead end-to-end external market survey management, including data collection, job matching, validation, benchmark submissions, and participation
Evaluate regional and corporate initiatives, including Recognition+, Performance+, pay equity assessments, and benefit plan cost reviews
Support annual and off-cycle compensation planning cycles in Oracle HCM and WCM
Participate in After-Action Reviews and improve data quality, reporting effectiveness, and system functionality
Establish validation routines, auditing processes, and governance practices for Total Rewards data
Partner with HRBPs/HRBOs, Global and Regional Total Rewards teams, and HR IT stakeholders
Present compensation and benefits insights to leadership and support strategic decision-making

Requirements

Bachelor's Degree in Human Resources, Business Administration, Data Analytics, Statistics, Finance, or a related field
Minimum of 5 years of dedicated experience in Total Rewards analytics, Compensation & Benefits analysis, or HR business intelligence
Proven experience working with large-scale workforce and compensation datasets
Experience managing market salary surveys and analyzing complex reward structures within a multi-market or multinational environment
High proficiency in Power BI, Tableau, or Visier, with experience building automated and interactive dashboards
Experience with Oracle HCM and Workforce Compensation Module (WCM)
Advanced Microsoft Excel skills, including complex functions, modeling, Power Pivot, and macros
Strong Microsoft PowerPoint presentation skills
Familiarity with modern AI/LLM productivity tools, data automation, or scripting tools such as Python, SQL, or Power Query
Ability to bridge Total Rewards processes with data technology and HR IT systems
Strong understanding of business requirements, analytics, and technology solutions
Strong problem-solving and critical thinking capabilities
Ability to analyze complex information and generate meaningful business insights
High attention to detail and commitment to data accuracy
Ability to transform complex data into clear and compelling business narratives
Strong communication and presentation skills with the ability to influence stakeholders through data-driven recommendations
High level of self-direction and ownership
Ability to manage multiple priorities in a fast-paced environment
Strong commitment to confidentiality when handling sensitive compensation and workforce information
Demonstrated adaptability and attention to detail in delivering high-quality outcomes

Core Competencies

Expertise in Total Rewards analytics, including compensation and benefits analysis, with a strong ability to leverage data visualization tools like Power BI and Oracle HCM to drive strategic decision-making. Proven capability in managing large datasets, conducting quantitative modeling, and presenting actionable insights to leadership.

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