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Analyst | Advisory | Delhi | Workforce Transformation

Analyst | Advisory | Delhi | Workforce Transformation

Deloitte

0 - 5 years

0 Lacs

Delhi

Posted:1 day ago| Platform: Indeed logo

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Skills Required

benchmarking compensation data support development excel analytics evaluation strategy design recognition reports technology power tableau alteryx automate visualize research statistics management consulting visualization communication presentation

Work Mode

On-site

Job Description

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

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