Payroll Data Analyst — Remote & Insightful Reporting

Te Whatu Ora; Hastings; Hybrid; NZD 70,000 - 100,000; Full time

Job summary

Te Whatu Ora is seeking a highly analytical Payroll Analyst to join the People and Culture team. The role focuses on payroll, HRIS, and workforce reporting to support strategic planning and operational decisions across Health New Zealand.

You will analyse complex datasets, develop reporting solutions, and provide regular and ad hoc insights for regional and national stakeholders. Strong data skills and collaboration across teams are essential.

Qualifications

• Experience in reporting, analytics, payroll, HRIS, or related analyst roles.
• Strong SQL, SSRS, Excel and data extraction/reporting skills.
• Experience working with large payroll, HR, or workforce databases and information systems.
• Excellent analytical, problem-solving, and data quality management skills.
• Strong written and verbal communication skills with the ability to present information clearly to stakeholders.

Responsibilities

• Analyse and interpret workforce data to support strategic planning and operational decision-making.
• Develop meaningful reporting solutions and provide regular and ad hoc insights to stakeholders.
• Support Payroll and HRIS systems, investigate issues, and participate in upgrades and testing activities.
• Collaborate with vendors, Payroll, Finance, and Data & Digital teams to improve data quality and data workflows.
• Work with Payroll teams and project managers to deliver accurate workforce intelligence.

Skills

Payroll analytics

HRIS systems

SQL

SSRS

Excel

Data extraction

Data quality management

Stakeholder communication

Tools

Payroll databases

Workforce information systems

Job description

Te Whatu Ora is seeking a highly analytical Payroll Analyst to join the People and Culture team. The role focuses on payroll, HRIS, and workforce reporting to support strategic planning and operational decisions across Health New Zealand.

You will analyse complex datasets, develop reporting solutions, and provide regular and ad hoc insights for regional and national stakeholders. Strong data skills and collaboration across teams are essential.