Automic Group brings together modern purpose-built technology with a dynamic and experienced team to tailor solutions for companies and funds to understand, engage and manage their investors. We provide a cloud-native single registry, employee share plan and board management platform, and professional services including company secretarial, ESG, accounting and finance, and investor and media relations.
Today, over 1,400 ASX listed and unlisted clients trust Automic’s 250 employees to manage their registry, investor and board requirements – and Automic is ranked number one on the ASX by number of companies serviced, with 750 listed clients. In the past two financial years, Automic has won 50%of IPOs and 70% of listed companies who have switched registries.
Our culture is innately entrepreneurial, comprising people who thrive in an atmosphere where ideas, actions and initiative are encouraged. Our core values, Customer Success, Ambition, Equality and Team are at the foundation of who we are and how we operate.
Job Description
About the Role
We’re looking for a Solution Analyst – Data Migration to play a critical role in delivering Listed Registry and Employee Share Plan (ESP) transitions.
This is a highly specialised role where you’ll take ownership of end-to-end data migration design and execution, ensuring data is accurately transformed, reconciled, and onboarded into Automic’s platforms. You’ll sit at the intersection of business requirements, data structures, and system configuration, helping ensure seamless and high-quality client transitions.
You’ll be involved across the full lifecycle—from data mapping and transformation through to reconciliation, testing, and cutover, working closely with project teams and stakeholders to deliver successful outcomes.
Key Responsibilities
Define and execute end-to-end data migration strategies (ETL: extract, transform, load)
Lead data mapping between incumbent systems and Automic platforms
Own migration specifications across shareholder registers, holdings, transactions, corporate actions, and ESP data
Analyse complex datasets from registries, administrators, and ESP providers
Define transformation rules and business logic for data conversion
Identify data gaps, anomalies, and quality issues early in the lifecycle
Execute migration activities including dry runs and production cutovers
Design and perform reconciliation frameworks with defined tolerances
Investigate and resolve data breaks across balances, transactions, and registers
Produce migration reports and support data sign-off
Translate data requirements into system-ready configurations
Ensure alignment between data structures and platform setup
Support integrations (file interfaces, APIs, and external providers)
Support SIT and UAT with data-driven test scenarios
Validate outputs across systems post-migration
Participate in cutover planning and execution (including weekend activity where required)
Support post go-live hypercare and issue resolution
Desired Skills and Experience
Skills & Experience
Strong experience in data migration within financial services, registry, or ESP environments
Deep understanding of data structures (shareholder registers, holdings, transactions, ESP data models)
Strong SQL and advanced Excel skills for data interrogation and analysis
Proven experience with data mapping, transformation, and reconciliation frameworks
Experience working across system implementations, migrations, or transitions
Understanding of integration concepts (APIs, file-based interfaces)
Strong problem-solving skills with high attention to detail
Ability to work across both technical and business stakeholders
About You
You’re a detail-oriented and analytical problem solver who enjoys working with complex data and systems. You’re comfortable getting into the detail, but also understand the broader business context and client impact.
You take ownership of outcomes, work well under pressure, and enjoy being part of delivering high-stakes projects.
You will demonstrate:
Strong analytical thinking and attention to detail
A structured and methodical approach to problem-solving
Confidence working with large and complex datasets
The ability to manage multiple priorities and deadlines
Strong communication skills across technical and non-technical stakeholders
A proactive, solutions-focused mindset
Ownership and accountability for delivery
Why join Automic:
You’ll be part of a team where operational excellence, collaboration, and continuous improvement are genuinely valued. This is an opportunity to deepen your expertise, contribute to meaningful outcomes, and grow your career within a high-performing, purpose-led fintech environment.
Key Benefits include:
Hybrid working
A High growth, scale-up organisation
Professional career growth & development
Supportive & fast paced environment
If the above sounds like you, please apply for this exciting opportunity and be part of the growth journey at Automic!
Applications will be reviewed as they are received and interviews may commence prior to the closing date.
