Master Data & Pricing Systems Analyst

Hungry Jack's® Pty Ltd

Sydney

On-site

AUD 95,000 - 120,000

Full time

14 days+

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Job summary

Hungry Jack’s is seeking a Master Data Analyst to join our National Restaurant Support Centre. This full-time, Monday–Friday role focuses on accurate product, pricing and inventory data across Hungry Jack’s systems and supports pricing changes and new restaurant openings.

You will work closely with restaurants and internal teams, maintaining data across Macromatix, NCR and Oracle Fusion while driving data integrity and system improvements.

Qualifications

  • Experience with master data and pricing/product data in multi-site environments.
  • Familiarity with back-office/POS systems is a plus.

Responsibilities

  • Set up and maintain products and pricing across systems (store back-office, POS).
  • Support new restaurant openings and ensure information accuracy.
  • Coordinate regular pricing updates across systems.
  • Collaborate with teams to keep product, inventory and pricing data current.
  • Manage POS item additions, changes and removals.
  • Maintain inventory codes and costings across systems.
  • Assist with pricing and data-related system integration projects.
  • Develop controls and sign-off processes for pricing and master data changes.
  • Analyze data to identify opportunities to improve data integrity and efficiency.
  • Support restaurants with system, pricing and data queries.

Skills

Master data management
Analytical skills
Attention to detail
Stakeholder communication

Education

Diploma or Bachelor in IT/Finance/Business

Tools

Macromatix
NCR
Oracle Fusion

Job description

Hungry Jack’s is seeking a Master Data Analyst to join our National Restaurant Support Centre. This full-time, Monday–Friday role focuses on accurate product, pricing and inventory data across Hungry Jack’s systems and supports pricing changes and new restaurant openings.

You will work closely with restaurants and internal teams, maintaining data across Macromatix, NCR and Oracle Fusion while driving data integrity and system improvements.

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