Reward Data Analyst (Hybrid) – Pay & Bonus Analytics

Kingfisher

Greater London

Hybrid

GBP 45,000 - 75,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Competitive benefits package

Job summary

Kingfisher is looking for a Reward Data Analyst to join our Operational Reward team. You’ll lead the annual Pay Review and Bonus cycles, turning complex data into accurate, well-governed outputs while collaborating with HR operations and systems teams across multiple countries.

You’ll use Advanced Excel for analysis and modelling, perform market benchmarking, and provide data-driven recommendations to help the business make informed reward decisions. Hybrid working model offered.

Qualifications

  • Strong Reward experience, ideally gained within a complex, international organisation.
  • Experience supporting multi-country pay reviews and bonus cycles with large data volumes.
  • Advanced Excel skills with data analysis/modeling for insights.
  • Experience in reward benchmarking and market analysis.
  • Highly analytical with data from multiple systems; identify trends and inconsistencies.

Responsibilities

  • Lead annual Pay Review and Bonus cycles; manage data prep, calculations, validation, governance and outputs.
  • Partner with HR Operations, HR Hubs and HR systems to maintain accurate Reward data and improve processes.
  • Deliver market benchmarking and job evaluation; provide analysis and recommendations.
  • Provide reward analysis and data modelling to support decisions and ad-hoc projects.
  • Deliver reward processes: salary surveys, maintenance, policy updates, pension bonus sacrifice, and queries.
  • Support Reward function: communications, payroll, outputs, intranet, administration, GDPR.

Skills

Reward experience
Multi-country pay cycles
Advanced Excel
Benchmarking & analysis
Analytical & detail-oriented

Job description

Kingfisher is looking for a Reward Data Analyst to join our Operational Reward team. You’ll lead the annual Pay Review and Bonus cycles, turning complex data into accurate, well-governed outputs while collaborating with HR operations and systems teams across multiple countries.

You’ll use Advanced Excel for analysis and modelling, perform market benchmarking, and provide data-driven recommendations to help the business make informed reward decisions. Hybrid working model offered.

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