senior business analyst - investment data

An exciting opportunity to join a leading Australian profit-to-member superannuation fund dedicated to delivering impactful outcomes for its members. Working within their high-performing Investments and Operations division, you will act as a pivotal conduit between core investment professionals and technical engineering teams to modernise and transform their institutional investment data ecosystem. You will play a crucial role in shaping future-state architecture, translating complex business needs into scalable data solutions, and ensuring data integrity across a diverse portfolio of ongoing delivery initiatives.

Key Criteria

• Proven background as a Senior Investment Data Business Analyst within asset/fund management, superannuation, or investment banking.

• Deep functional domain knowledge of investment operations, financial instruments, and institutional market data providers.

• Intermediate to advanced technical proficiency in writing SQL queries, data interrogation, and source-to-target data mapping.

• Demonstrated expertise across core business analysis disciplines: requirements elicitation, process flow modelling (current and future state), data modelling, and functional decomposition.

• Solid understanding of the Software Delivery Lifecycle (SDLC) and hands-on delivery using Agile methodologies, Jira, and Confluence.

• Experience supporting end-to-end system implementations, testing phases, defining acceptance criteria, and writing solution options papers.

• Familiarity with data wrangling tools such as Python, R, or Power Query, or data onboarding/migration projects is highly regarded.

• Exceptional stakeholder management and workshop facilitation skills, with an ability to communicate complex data architectures to non-technical audiences.

• Relevant tertiary qualifications in Business, Finance, or Technology, and/or industry certifications (e.g., CBAP, DMBOK, PMBOK) are advantageous.

Key Relationships

• Reporting to: Technical Project Manager (TPM), Investments

• Internal Collaboration: Investment Teams, General Managers, Operations, Data Engineers, Software Development Teams, and Test Teams

• External Stakeholders: External Solution Vendors and Specialist Consultants

Key Responsibilities

• Discovery & Requirements Elicitation: Facilitate cross-team requirements discovery workshops and backlog prioritisation with investment stakeholders; develop comprehensive process flows for current and future state operating models.

• Solution Options & Analysis: Formulate solution options papers, evaluate alternative architectural pathways, and translate complex investment data requirements into detailed functional specifications.

• System Design & Implementation: Partner closely with data engineers and vendors throughout the system design, procurement, configuration, build, and implementation phases of the investment data backlog.

• Testing & Quality Assurance: Define testable acceptance criteria, guide dedicated test teams, and champion robust data quality and risk management frameworks.

• Continuous Improvement & Knowledge Management: Regularly review, enhance, and maintain artifacts within the SDLC delivery model and central knowledge bases, while tracking dependencies across concurrent project work streams.

If this sounds like you, someone you know, or you're ready for a confidential chat regarding your next career step, then apply below and/or send your email to nick.shannon@randstaddigital.com.au. All applications will be reviewed, however due to large demand, detailed feedback may not always be possible.

At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

experience

4 years