Job Title:  Analyst | Advisory | Delhi | Workforce Transformation

Job requisition ID ::  87376
Date:  Aug 13, 2025
Location:  Delhi
Designation:  Analyst
Entity:  Deloitte Touche Tohmatsu India LLP
  • Benchmarking & Market Analysis: Conduct compensation benchmarking using proprietary and external databases to evaluate market competitiveness.
  • Data Modelling & Insights: Support the development of pay structures, incentive plans, and salary ranges using Excel-based models and analytics tools.
  • Job Evaluation: Assist in job matching, job evaluation (e.g., Mercer/Willis Towers Watson methodologies), and role classification activities.
  • Rewards Strategy Support: Contribute to the design of total rewards frameworks, including fixed and variable pay, recognition programs, and benefits.
  • Client Engagements: Collaborate with consultants and managers on client deliverables—prepare presentations, reports, and dashboards.
  • Technology & Tools: Use HR analytics tools (e.g., Power BI, Tableau, Alteryx) to automate and visualize compensation-related data.
  • Research & Thought Leadership: Conduct research on emerging compensation trends, GenAI in HR, DEI-based pay equity, and industry-specific rewards practices.

Qualifications

Education:

  • Bachelor’s degree in Commerce, Economics, Statistics, Management, or Engineering
  • MBA/PGDM (HR/Strategy/Analytics) is a plus but not mandatory

Experience:

  • 0–5 years of experience in HR consulting, analytics, compensation & benefits, or related domains
  • Prior internship or work experience in consulting, HR analytics, or compensation strategy is an advantage

Required Skills

  • Strong analytical and quantitative skills with advanced MS Excel proficiency
  • Familiarity with data visualization tools (Power BI, Tableau) is preferred
  • Good understanding of compensation principles, pay structures, and performance-linked rewards
  • Ability to manage multiple tasks, prioritize effectively, and meet deadlines
  • Strong communication and presentation skills
  • High attention to detail and commitment to data quality
  • Team-oriented mindset with a consultative approach to problem-solving