• Up to $165k + super | Secure 2-year FTC on a major transformation
• Hybrid setup in Macquarie Park with flexible onsite days
• Join a large-scale D365 Finance & Operations transformation

Organisation:
Join a leading healthcare organisation undergoing a major digital transformation, implementing Dynamics 365 Finance & Operations across the business. You'll be part of a structured, enterprise program focused on improving financial systems, reporting accuracy, and operational efficiency.

Project Description:
You will support a large-scale D365 Finance & Operations implementation, migrating critical financial and operational data from legacy systems into a modern ERP platform.

The program is focused on ensuring high-quality, reconciled, and business-approved data is available from day one-supporting testing, cutover, and long-term reporting capability.

Role:
As a Data Migration Analyst, you will:

• Analyse source and target data to identify gaps, issues, and migration risks
• Define and maintain source-to-target data mappings with business stakeholders
• Profile, cleanse, and prepare data for migration
• Support and execute data migration loads into D365 F&O
• Validate and reconcile migrated data to ensure accuracy and completeness
• Support migration cycles, rehearsals, cutover, and go-live activities
• Track, document, and report data issues, risks, and progress
• Work closely with SMEs, delivery teams, and system integrators

You will have:

• Experience delivering data migration within ERP or finance system programs
• Strong data analysis skills and attention to detail
• Experience creating source-to-target mappings
• Hands-on experience with data profiling, cleansing, and validation
• Experience supporting or executing migration loads
• Proficiency in MS SQL Server, SSIS, or similar tools
• Strong communication and stakeholder engagement skills

Nice to have:

• Experience with Dynamics 365 Finance & Operations
• Exposure to healthcare or regulated environments
• Experience working with system integrators
• Understanding of data governance and data quality frameworks