People Analytics and Total Rewards Partner

People Analytics and Total Rewards Partner

Tomra

Hasselt, Belgium

Job Description

TOMRA Food is committed to driving success through its people. As a global leader in optimising the food supply chain, we're passionate Resource Revolutionaries dedicated to making every resource count. We are seeking a People Analytics and Total Rewards Partner in our office in Leuven to enhance data reliability, improve systems and processes, and provide actionable insights to enable informed decision-making.

This hands-on role focuses on delivering operational excellence in compensation, analytics and People & Organisation (P&O) systems across the division, ensuring streamlined and effective processes aligned with our goals.

Key Responsibilities

Data Analysis and Reporting:

• Build and maintain P&O dashboards and reports using Power BI, providing actionable insights to P&O and business leaders;
• Analyse P&O data to identify trends, patterns, and recommend areas for improvement;
• Execute compensation processes, including benchmarking, pay equity analysis, and headcount cost forecasting;
• Conduct market research to ensure competitive compensation and benefits packages;
• Equip P&O teams with tools and templates for consistent and efficient execution of compensation and analytics tasks;
• Stay up-to-date with industry trends and provide data-driven recommendations for strategic P&O initiatives.

Ownership of Food People Information Systems and Reporting:

• Own and manage TOMRA Food’s People Information System (HRIS) and reporting processes;
• Ensure data accuracy, governance, and alignment with global frameworks and standards;
• Oversee the integration and optimisation of key global P&O IT tools, such as TOMRA People and TOMRA Learn;
• Collaborate with global Total Rewards teams to enhance system functionality and alignment.

Process Improvement and Automation:

• Identify and implement opportunities to streamline reporting and data workflows;
• Automate P&O processes to improve efficiency;
• Optimise the usability of existing tools for local and regional teams.

Data Integrity and Visualisation:

• Ensure data integrity through quality checks and governance practices;
• Create intuitive dashboards using Power Bi or Qlik to support decision making;
• Develop data storytelling methods to communicate insights effectively.

Collaboration and Global Alignment:

• Work with Group P&O Total Rewards, Group Analytics and business leaders to design and implement compensation and benefits programs that align with company objectives and market trends;
• Work closely with Group Total Rewards and Group Analytics teams to align on frameworks and methodologies;
• Collaborate with P&O teams to provide hands-on support and ensure alignment with global strategies;
• Act as a liaison between P&O and Finance to ensure data consistency and integration.

Supporting Global Frameworks and Total Rewards Projects:

• Support the P&O Leadership Team in implementing the Global Career Framework, ensuring processes and tools are effectively adopted across the division;
• Contribute to the execution of Total Rewards projects by aligning compensation and benefits frameworks with global and divisional strategies;
• Provide operational support to P&O teams to enable the consistent application of global frameworks and rewards programs.

Qualifications

About You:

Experience:

• 3-5 years of experience in HR systems, People Analytics, Compensation & Benefits, or related fields;
• Proven ability to manage data integrity and deliver reliable reporting;
• Hands-on experience with HR IT systems and BI tools (e.g., Power BI, Qlik, or similar platforms).

Skills and Attributes:

• Strong attention to detail and a commitment to quality in data management, reporting, and analysis;
• Practical problem-solving skills, with a focus on continuous improvement and simplification;
• Collaborative mindset and a proactivem hands-on approach to supporting stakeholders;
• Skilled in creating visually engaging dashboards and reports.

Education:

• Degree in Business, Economics, Engineering, or a related field with a strong affinity for people analytics (or equivalent experience).

Additional Skills:

• Knowledge of workforce planning, compensation processes, and HR IT systems;
• Experience with process automation and optimising HR tools;
• Familiarity with supporting large-scale HR transformations is a plus.

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