People Data and Analytics Analyst

About Kerry

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.