Remote Compensation & Benefits Analyst II

McCormick & Company

Łódź

On-site

PLN 104,000 - 127,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Life Insurance
Multisport Card

Job summary

McCormick & Company in Poland is seeking a Compensation And Benefits Analyst II to join our Total Rewards team. You will administer compensation systems, analyze data, and support annual merit, base pay, and bonus processes.

Responsibilities include partnering with global HR, Finance, IT, and external vendors, conducting market analyses, and ensuring HR systems meet compensation needs. Strong Excel and data skills are required.

Qualifications

  • Degree in HR, Finance, Accounting or analytical field is required.
  • Experience in HR, compensation and benefits or reward with a data focus is expected.
  • Fluent English language knowledge is required.
  • Advanced Excel skills and experience with HR systems are essential.

Responsibilities

  • Administer compensation systems, databases, tools, access, documentation, and data updates.
  • Prepare, analyze, and audit compensation and benefits data, reports, and dashboards.
  • Support annual merit, base pay, and bonus processes, ensuring alignment with policy.
  • Partner with global HR teams, Finance, IT, HRIS, Internal Audit, and external vendors.
  • Participate in compensation surveys, job matching, market analysis, and pay range reviews.

Skills

Data management
Reporting
Data analysis
Advanced Excel
Stakeholder mgmt
Project management
English fluency

Education

Degree in HR
Finance degree
Accounting degree
Analytical field degree

Tools

SAP
MySuccess
Reward
HRIS

Job description

McCormick & Company in Poland is seeking a Compensation And Benefits Analyst II to join our Total Rewards team. You will administer compensation systems, analyze data, and support annual merit, base pay, and bonus processes.

Responsibilities include partnering with global HR, Finance, IT, and external vendors, conducting market analyses, and ensuring HR systems meet compensation needs. Strong Excel and data skills are required.

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