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Total Rewards Business Partner

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Antech Diagnostics

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Contract Type:
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Salary:

Not provided

Job Description:

Antech is seeking a highly motivated and self-driven Total Rewards Business Partner to join our growing team. The Total Rewards Business Partner will be essential in providing support to our compensation and benefits agenda across the European and APAC markets to ensure a strong competitive position within the industry. This role will report into Total Rewards Lead and will work closely with Business Stakeholders and Associates.

Job Responsibility:

  • Lead participation in external market surveys and conduct benchmarking analysis
  • Conduct job evaluations and market pricing for new and evolving roles
  • provide structured salary recommendations
  • Provide support, partnership, and communication on Rewards programs to business stakeholders, P&O and Associates
  • Provide effective support and service to our internal P&O community
  • Support organization design initiatives with compensation impact assessments
  • Maintain and evolve salary structures and grading frameworks
  • Develop robust compensation and benefits dashboards to support leadership decision-making
  • Perform cost modeling and scenario analysis for annual merit cycles, incentive plans, and structural changes
  • Analyze trends in pay equity, reward competitiveness, and program effectiveness
  • Partner with HRIS and Finance to enhance reporting automation and data quality controls
  • Translate complex datasets into clear, actionable insights for non-technical stakeholders
  • Co-own annual merit and incentive processes, ensuring governance, timeline adherence, and budget alignment
  • Partner with Finance during planning and forecasting cycles related to compensation and benefits costs
  • Support review and enhancement of benefits offerings in collaboration with vendors and local P&O teams
  • Contribute to the design and rollout of new or revised reward programs, policies, and guidelines
  • Act as a trusted advisor to P&O and business leaders on compensation decisions and reward frameworks
  • Develop and deliver training, tools, and communications to managers regarding compensation processes and philosophy
  • Respond to complex compensation-related queries with structured, data-backed guidance
  • Ensure reward programs comply with internal governance standards and local regulations
  • Maintain clear, user-friendly documentation of policies and processes
  • Identify and implement process improvements to enhance efficiency and consistency across markets

Requirements:

  • Bachelor’s degree in Human Resources, Business Administration, Finance, Economics, or Accounting
  • 4 – 6 years’ relevant experience in an analytical compensation, total rewards, HR analytics or related analytical HR/Finance roles
  • Solid understanding of compensation fundamentals: benchmarking, salary structures, job evaluation, and incentive plan administration
  • Experience with employee benefit plan analysis and administration a plus
  • Strong analytical capability and a natural inclination to quantifying decisions with experience in financial modelling and interpreting large datasets
  • Strong writing and influencing skills to effectively communicate complex compensation decisions
  • Comfortable to work with a fast paced, ever-changing environment accompanied with ambiguity
  • Desire to learn and pick up new concepts, tools, and processes with limited oversight
  • Appreciation of speed and urgency while keeping a high attention to detail and accuracy
  • Logical thinking and approach
  • Ability to meet deadlines and prioritize work
  • Written and spoken English min of C1 level
  • Advanced proficiency with Microsoft Excel and ability to consolidate and manipulate large data sets
  • High level of proficiency in Microsoft Word, PowerPoint, Outlook, and Teams
  • Workday knowledge desirable

Nice to have:

  • Multi-country exposure is advantageous
  • Workday knowledge desirable

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
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