Data Migration Analyst - SMST
Job No.: 697781
Location: Clayton campus
Employment Type: Full-time
Duration: Fixed-term appointment until 30 June 2027
Remuneration: A competitive remuneration package will apply
- Amplify your impact at a world top 50 University
- Join our inclusive, collaborative community
- Be surrounded by extraordinary ideas - and the people who discover them
The Opportunity
The Data Migration Analyst will join the Student Management System Transformation (SMST) Program, supporting the Data Migration Lead in delivering an end to end data migration solution to enable migration of data from existing Monash systems, to (primarily) a new Student Management System (SMS).
We are looking for a detail-oriented and highly skilled analyst, who will ensure the accuracy, integrity and security of data during this complex data migration. This role will involve collaboration with cross-functional teams, including business analysts, developers, testers, external vendors and business stakeholders, ensuring seamless and efficient data loads and post migration validation processes.
The ideal candidate has strong analytical skills, a keen eye for detail, and the required technical skills to develop data extraction processes, solve data management issues, provide high-quality data conversion and deliver reporting and dashboarding for data validation/reconciliation purposes.
The ideal candidate will have;
- Demonstrated experience with data migration in a large and complex environment with varying levels of data quality.
- Strong proficiency with migration tools, data mapping, profiling, cleansing and quality assurance.
- Expertise in developing complex end to end ETL processes, interactive data visualisations, dashboards and reports using Databricks and Power BI.
- Strong proficiency in SQL and performance optimization.
- Superior communication skills to liaise with business and technical stakeholders
- Strong numeracy, analytical, and problem-solving abilities with the capability to identify challenges and recommend actionable solutions
- Excellent time management and attention to detail to meet deadlines and maintain accuracy
- Ability to work effectively as part of a team and exercise independence, judgment, and initiative
- Familiarity with Python and Callista data is desirable
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.
We value difference and diversity. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.
In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.
Learn more about Monash.
Today, we have the momentum to create the future we need for generations to come. Accelerate your change here.
Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
To Apply
Send us a copy of your latest CV along with a cover letter (max 2 pages) that addresses your suitability for the role. A document addressing the Key Selection Criteria is not required. Please refer to "How to apply for Monash Jobs"
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.
We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Enquiries: Ms Patricia Soto, Project Manager, Patricia.Soto@Monash.edu
Position Description: Data Migration Analyst - SMST
Applications Close: Monday 12 October 2026, 11:55pm AEST
Supporting a diverse workforce
