Total Rewards Analyst - Compensation & Benefits

Ledger

Paris

On-site

EUR 65,000 - 90,000

Full time

14 days+
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Job summary

Ledger is seeking a mid-level contractor for Total Rewards to support year-end compensation reviews and executive reporting. You will work with the Paris-based C&B expert, handling data pulls, modelling, and benchmarking to ensure accurate, auditable outputs.

Requirements include 4+ years in C&B, a quantitative degree, and advanced Excel. Proficiency with Workday and benchmarking tools is highly valued; English is required, French preferred.

Qualifications

  • 4 years+ in Compensation & Benefits or Total Rewards.
  • C&B-specific experience required; broader HR analytics without C&B exposure is not sufficient.
  • Degree in a quantitative discipline preferred (Finance, Economics, Statistics, or equivalent).
  • Advanced Excel including pivot tables, scenario modelling, and large datasets.
  • Experience with Workday for compensation cycle management is a strong plus.
  • Experience with benchmarking tools and market data interpretation is expected.
  • Ability to work autonomously from a defined brief with minimal supervision.

Responsibilities

  • Support year-end compensation review data preparation, validation, and population files.
  • Model budgets, distribution curves, and merit matrices with auditable outputs.
  • Produce clean tables and data panels for board/executive reporting with precise footnotes.
  • Assist with bonus plan design reviews, including slide decks and payout range modelling.
  • Support ad hoc projects on job architecture and market benchmarking analytics.

Skills

Compensation & Benefits
Data analysis
Excel modelling
Stakeholder management

Education

Degree in Finance or Economics or Statistics

Tools

Workday
Radford
Mercer Comptryx
AI document drafting tools

Job description

Ledger is seeking a mid-level contractor for Total Rewards to support year-end compensation reviews and executive reporting. You will work with the Paris-based C&B expert, handling data pulls, modelling, and benchmarking to ensure accurate, auditable outputs.

Requirements include 4+ years in C&B, a quantitative degree, and advanced Excel. Proficiency with Workday and benchmarking tools is highly valued; English is required, French preferred.

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