Kerja Sepenuh Masa, People Data and Analytics Analyst di Kerry Federal Territory - Maukerja

About Kerry

Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.

About the role

Key responsibilities

SAP SuccessFactors Data Extraction:

• Extract employee and HR data from SAP SuccessFactors using Report Centre, Canvas Reports, Stories and other relevant reporting capabilities.
• Understand the structure, meaning and dependencies of SuccessFactors data.
• Handle employee data in accordance with data privacy, security, confidentiality and access-control requirements.
• Prepare datasets for payroll, Time & Attendance reconciliation and implementation activities.

Data Extraction, Transformation & Loading (ETL):

• Extract relevant datasets from SuccessFactors, payroll, Time & Attendance and other project sources.
• Transform and standardise data so that datasets can be compared consistently.
• Compare data against current country-specific payroll and time information.
• Identify and flag missing data, discrepancies, inconsistent values, data-quality issues and country-specific exceptions.
• Apply global definitions and country-specific business rules.
• Develop repeatable and reusable processes that can be applied across multiple countries and project phases.

Payroll & Time Data Reconciliation:

• Perform systematic reconciliation between HR, Payroll and Time & Attendance data.
• Understand whether differences represent genuine data issues, legitimate country variations, transformation rules or process/system differences.
• Support data cleansing and validate corrections.
• Maintain controls supporting reconciliation, auditability, exception management and continuous data-quality validation.

Analysis & Risk Management:

• Analyse large datasets and identify potential implementation, payroll or time-processing risks early.
• Investigate discrepancies and support root-cause analysis.
• Assess the potential business impact of data issues.
• Communicate status, risks, issues, dependencies and required actions as soon as they arise.
• Help prioritise issues according to payroll, time and implementation impact.

Stakeholder Management:

• Work with global and country Payroll, Time & Attendance, HR, HRIS, IT, Data and SME teams.
• Provide concise and clear progress, risk and issue updates.
• Promote teamwork and coordinate the right SMEs to resolve issues.
• Escalate material risks and blockers appropriately while maintaining a collaborative, solution-oriented approach.
• Work effectively across countries, cultures and time zones.

Data Tools & Automation:

• Experience with one or more of the following is desirable: Power BI, Power Query, Power Automate, advanced Excel or equivalent ETL/data-management tools.
• The role does not require a software developer. What matters is the ability to use data tools to automate repetitive activities, compare datasets, identify exceptions, support audit and create reusable reconciliation and data-quality controls.
• A typical process should be understood as:
  Extract Clean Transform Compare Identify Exceptions Report Correct Validate Reuse

Qualifications and skills

Required Experience:

• Practical experience with SAP SuccessFactors and its reporting capabilities.
• Experience extracting, analysing and reconciling HR/employee data.
• Experience with ETL, data transformation, data quality or reconciliation processes.
• Strong analytical and problem-solving skills.
• Ability to work with large datasets and identify root causes of discrepancies.
• Strong attention to detail and responsible handling of confidential employee information.
• Strong stakeholder management and communication skills.
• Ability to work in a global, multi-country project environment.

Desirable Experiences:

• Payroll implementation, transformation or operations experience.
• Time & Attendance implementation or transformation experience.
• Multi-country Payroll and/or Time & Attendance experience.
• Experience with payroll or time data migration and reconciliation.
• Power BI, Power Query or Power Automate experience.
• Experience building automated, repeatable data-quality or reconciliation processes.
• Experience in global HR transformation, HRIS or workforce-management programmes.

Personal Profile:

• Analytical and naturally curious.
• Detail-oriented and conscious of payroll/time-processing impact.
• Proactive in identifying and communicating risks.
• Pragmatic and solution-oriented.
• Collaborative and comfortable working with SMEs.
• Organised and able to manage multiple countries and priorities.
• Technologically curious and motivated to automate repetitive work.
• Able to explain complex data issues in simple business language.