Investment Data Analyst

We provide Index and Reference data support to the Investment Management Group and key stakeholders, ensuring accurate investment and fund data for informed decisions and oversight

About Vanguard

More than 45 years ago, John C. Bogle had a vision to start an investment company that did things differently. A company with no external shareholders. Where all the profits were invested back into the business and used to lower costs. Evidently, it was as bold as it was brilliant. To this day, Vanguard Group still has no external shareholders. That means no share prices to protect, and no profits to generate for outside owners.

Today, Vanguard is one of the world's largest investment management companies, serving more than 50 million investors worldwide. For more than 25 years Vanguard Australia has been supporting individual investors, financial advisers, and superannuation members to achieve their long-term financial goals.

At Vanguard, our mission is to help all investors reach investment success. Our Investment Data team plays a critical role in delivering exceptional outcomes, and we're seeking an Investment Data Analyst to ensure the integrity and accuracy of index and reference data that drive s investment decision making .

In this highly collaborative role, you'll work with internal teams and external partners to maintain data quality, resolve complex issues, and lead process improvements. Strong communication and relationship building skil ls are essential, you'll engage with multiple stakeholders across the business and external.

This hybrid role (in office Tues-Wed-Thurs) is based in Melbourne, VIC

• Deliver accurate index and reference data to support investment decisions and fund oversight.

• Manage complex daily and ad hoc tasks under tight deadlines, acting as a point of escalation for investment book of record and index methodology issues.

• Analyse and resolve data issues impacting portfolio management processes.

• Lead process improvement initiatives to enhance efficiency and data quality.

• Build and maintain strong relationships with internal stakeholders and external data vendors.

• Collaborate across global data management teams to resolve operational challenges and implement best practices.

• Participate in special projects and contribute to strategic initiatives.

• Undergraduate degree in Finance & Data Management, or related field. CFA (completed or in progress) is desirable .

• Minimum 3 years in a relevant role within financial services.

• Familiarity with AWS and Python (hands-on experience or exposure).

• Strong understanding of financial concepts, index methodology , and trade lifecycle .

• Excellent verbal and written communication skills.

• Ability to collaborate effectively across teams and with external partners.

• Strong analytical and problem-solving capabilities.

• Detail-oriented, proactive, and able to thrive in a fast-paced environment.