Data Analysts / Data Engineers


Data Analyst HRIS


  • Daily Market Rates
  • Fantastic organisation making a real impact in the community
  • Hybrid working model
  • Great team culture
  • Location: Brisbane, Queensland - Australia
  • Work type: Contract
  • Date Posted: 30 January, 2025
  • Reference: #17444
  • Location: Brisbane, Queensland
  • Type: Contract
  • Job #17444

Overview

We are seeking skilled Data Analysts to support parallel pay runs between a legacy payroll system and a new payroll system. This role involves collecting, cleaning, analyzing, and organizing payroll-related data to ensure seamless payroll processing. The successful candidate will possess strong analytical skills, attention to detail, and experience with payroll and rostering systems.

Responsibilities

  • Collect data from various sources for integration into Rostering, Time and Attendance, and Payroll solutions

  • Review and clarify business requirements to ensure data accuracy and consistency

  • Clean, validate, and organize data to prepare for pay runs

  • Analyze payroll data using statistical methods to identify discrepancies and trends

  • Utilize tools such as Excel, Rostering, Time and Attendance, and Payroll solutions

  • Work with payroll solutions such as PayGlobal, Deputy, Mirus, and Optima to support payroll processes

  • Collaborate with stakeholders to ensure accurate data processing and reporting

  • Provide insights and recommendations to improve payroll data integrity and efficiency

Skills

  • Proven experience in data analysis, particularly within payroll and workforce management systems

  • Proficiency in Excel and familiarity with payroll solutions such as PayGlobal, Deputy, Mirus, or Optima (experience with these tools is desirable)

  • Strong problem-solving skills and keen attention to detail

  • Ability to interpret business requirements and translate them into data-driven insights

  • Excellent communication skills, with the ability to collaborate effectively with cross-functional teams

  • Experience in data cleaning, validation, and transformation

  • Understanding of statistical methods and data visualization techniques

  • Background in HR, Finance, or IT-related fields is preferred

Contact details

For a confidential discussion about the role, contact Pat via 0499 689 118 or pat@exclaim-it.com.au.

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