Global Payroll Analyst (6 month Contract)

About the role

• Collect payroll files from all Reconomy entities and locations in line with agreed payroll calendars.
• Understand the structure, content, and definitions of payroll data across different countries, providers, and formats.
• Maintain clear documentation of payroll file structures and data variations.

• Build and maintain a consolidated master payroll dataset bringing together all locations.
• Reconcile payroll data against the HRIS to identify discrepancies, missing fields, or misaligned values.
• Clearly document variances and propose corrective actions aligned to global data standards.

• Identify data missing from payroll files and actively chase required information with local HR, payroll teams, or Finance.
• Track and monitor recurring data quality issues and support root‑cause analysis.
• Work with People Systems colleagues to ensure HRIS updates are completed accurately and on time.

• Build strong working relationships with regional HR teams, payroll providers, and Finance colleagues.
• Clearly communicate data issues, risks, and progress to the People Systems & Data team.

• Support the development of standardized payroll‑to‑HRIS reconciliation processes.
• Contribute to improved data governance, controls, and audit readiness.
• Identify opportunities to automate or streamline data collection and reconciliation activities over time.

What we need from you

• 6 to 10 years of strong experience working with large, confidential datasets, ideally payroll, HR, or financial data.
• Advanced Excel skills (e.g. lookups, data cleansing, pivot tables; Power Query desirable).
• High attention to detail with a strong focus on data accuracy and consistency.
• Experience reconciling data between multiple sources and systems.
• Confidence working with stakeholders across different countries and time zones.

• Experience working with HRIS and payroll systems.
• Understanding of global payroll concepts and country‑specific variations.
• Experience supporting recurring operational processes (e.g. payroll cycles, monthly reporting).
• Exposure to data visualisation tools (e.g. Power BI).

• Highly organised with the ability to manage recurring deadlines.
• Comfortable working independently while collaborating within a global team.
• Curious and analytical, with a drive to understand how data is created and used.
• Clear communicator, able to explain data issues to non‑technical colleagues.
• Adherence to confidentiality and data protection while working with highly sensitive data.

CTC Offered