Data Migration Analyst

• Analyse legacy healthcare data and workflows to support accurate data migration into new EHR systems
• Validate migrated data through iterative testing in order to ensure accuracy, integrity, and usability in the target system
• Collaborate with clinical and technical stakeholders to gather requirements and support migration activities
• Lead validation activities with clients in order to identify, triage, and resolve data issues
• Coordinate across project teams to manage multiple migration projects and ensure successful delivery

• 1–3 years’ experience in healthcare IT, data analysis, or a related field
• Proven success in supporting system implementations, data migrations, or EHR-related projects
• In-depth knowledge of healthcare data, EMR/EHR systems, and data validation processes
• Ability to commute to our Melbourne office on a hybrid basis
• Sincere interest in improving patient care through accurate and reliable healthcare data
• A knack for working collaboratively across clinical and technical teams within a fast-paced, delivery-focused environment

By enabling flexibility in how we work and prioritising employee wellness, we empower our team to do and be their best. Key benefits include private health and group accident insurance, an Employee Assistance Program (EAP) for confidential support, and Loyalty Awards for long-service employees.
RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, colour, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by law.
As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to accessibility@rldatix.com.
Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organisational factors are also taken into consideration.