Senior Specialist, Total Rewards Analytics

Ford; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Ford in Chennai, India seeks a Total Rewards Senior Specialist - Data Analytics to drive data-informed decisions for compensation and benefits across the organization. You will transform large datasets into actionable insights, build scalable dashboards, and partner with regional and global stakeholders to optimize Total Rewards programs.

Advanced analytics, BI visualization, and data governance will be core to your role as you support executive decision making and talent retention efforts

Qualifications

• Bachelor's degree in HR, business, analytics, finance, or a related field.
• 5+ years of Total Rewards analytics or HR BI experience.
• Experience with large workforce and compensation data.
• Experience managing market salary surveys and benchmarks.

Responsibilities

• Deliver deep-dive, predictive, and trend analyses across Total Rewards programs.
• Design, build, and maintain interactive Power BI dashboards for compensation metrics.
• Lead external market surveys, data collection, and benchmark submissions.
• Translate analyses into executive summaries and actionable recommendations for leadership.
• Collaborate with HR IT and regional teams to ensure data integrity and governance.

Skills

Data storytelling

Analytical thinking

Stakeholder management

Data governance

Education

Bachelor's degree in HR/BA/Analytics

Tools

Power BI

Tableau

Visier

Oracle HCM

Excel

Power Query

Job description

As the Total Rewards Senior Specialist - Data Analytics, you will play a key role in driving data-informed decisions, program effectiveness, and operational excellence across Total Rewards in IMG. Serving as a subject matter expert in analytics, you will transform complex, multi-market datasets into actionable business insights that support compensation and benefits strategies.

Leveraging advanced data visualization platforms and modern analytical and AI tools, you will develop scalable dashboards, oversee market survey activities, optimize analytical processes, and collaborate across HR functions to enable data-driven talent retention and business growth. You will partner with regional and global stakeholders to enhance the effectiveness of Total Rewards programs while ensuring data integrity, reporting excellence, and operational efficiency.

1. Advanced Analytics Business Intelligence

Data Storytelling Visualization

• Deliver deep-dive, predictive, and trend analyses across Total Rewards programs.
• Design, build, and maintain interactive Power BI dashboards to track key compensation and benefits metrics, pay competitiveness, pay equity, and workforce trends.
• Develop meaningful visualizations that support executive decision-making.

Insight Generation

• Analyze large and complex datasets to identify patterns, trends, and opportunities.
• Evaluate compensation structures and perform budget impact analyses.
• Translate analytical findings into executive summaries, visual reports, and actionable recommendations for Total Rewards leadership and business stakeholders.

Process Optimization Data Pipelines

• Identify opportunities to improve and automate data preparation routines and analytical workflows.
• Enhance efficiency, reduce cycle times, and support scalable analytics operations across IMG markets.
• Continuously improve reporting and analytical processes to strengthen operational excellence.

2. Regional Total Rewards Programs Market Intelligence

Program Review Policy Support

• Conduct quantitative modeling and scenario analyses to support the design, review, and enhancement of compensation and benefits programs.
• Provide analytical support for salary structures, promotion guidelines, off-cycle adjustment tools, and Total Rewards policies.
• Evaluate program effectiveness and recommend data-driven improvements.

Market Survey Benchmarking Management

• Lead end-to-end management of external market surveys.
• Manage data collection, job matching, quality validation, benchmark submissions, and survey participation activities.
• Perform post-survey analyses to assess market competitiveness and support compensation decisions.

Strategic Program Analytics

• Conduct analytical evaluations for key regional and corporate initiatives, including Recognition+, Performance+, pay equity assessments, and benefit plan cost reviews.
• Provide insights to support market competitiveness, internal equity, and informed program design decisions.

3. Compensation Systems Operations Execution

Systems Cycle Execution

• Serve as the technical and functional analytics expert during annual and off-cycle compensation planning cycles.
• Support data integrity, system validation, reporting, and analytics activities within Oracle HCM and Workforce Compensation Module (WCM).
• Ensure the accuracy and reliability of compensation planning data and reports.

Continuous System Improvement

• Participate in After-Action Reviews (AAR) following reward cycles.
• Identify opportunities to improve data quality, reporting effectiveness, and system functionality.
• Support enhancements within WCM and analytical reporting environments.

Data Governance Integrity

• Establish and maintain validation routines, auditing processes, and governance practices across Total Rewards data.
• Ensure data accuracy, consistency, confidentiality, and compliance with organizational requirements.
• Support strong controls and standards for compensation and workforce data management.

4. Stakeholder Enablement Strategic Communication

Strategic Stakeholder Partnership

• Partner with HR Business Partners (HRBPs/HRBOs), Global and Regional Total Rewards teams, and HR IT stakeholders to understand business needs and analytical requirements.
• Develop analytical approaches that address workforce and compensation-related challenges.
• Deliver insights that support strategic business and talent decisions.

Executive Communication

• Translate complex analytical findings into clear, concise, and visually engaging presentations.
• Present compensation and benefits insights to leadership teams and stakeholders.
• Support leadership discussions and decision-making through effective data storytelling and communication.

Education

• Bachelor''s Degree in Human Resources, Business Administration, Data Analytics, Statistics, Finance, or a related field.

Experience

• 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.

Technical Expertise

• High proficiency in data visualization platforms such as Power BI, Tableau, or Visier, with demonstrated experience building automated and interactive dashboards.
• Experience working with enterprise HR systems such as 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 for data manipulation.

Skills Competencies

Systems Thinking

• Ability to bridge Total Rewards processes with data technology and HR IT systems.
• Strong understanding of the relationship between business requirements, analytics, and technology solutions.

Analytical Rigor

• 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.

Data Storytelling Communication

• 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.

Agility Accountability

• 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.