Are you passionate about working with data to uncover insights and solve business challenges? Do you enjoy analyzing information, identifying patterns, and helping teams make data-driven decisions? Come join our Personal Wealth Data Strategy & Management team! Vanguard is building trusted data products that power analytics, AI capabilities, and business decision-making across the enterprise. We are looking for curious, analytical students who want hands-on experience working with data while partnering with product, engineering, and business teams. You will gain exposure to how data products are validated, governed, and delivered within a large-scale organization.

This exciting six-month co-op opportunity begins in January for students from participating schools.

You’ll gain hands-on experience in a dynamic, fast-paced environment, working alongside talented engineers and contributing to impactful projects from day one.

Qualifications:

• Must be able to start in January and end in June/July. No exceptions.
  • Must be able to work hybrid model (Monday and Friday option to work from home, Tuesday - Thursday onsite)
• Pursuing a degree in a related field or the equivalent combination of training and experience
• 0–3 years of developer experience
• Good written and oral communication skills
• Good analysis and problem-solving skills

In this role, you will

• Support data discovery and profiling activities to better understand business processes and datasets.
• Assist in documenting business rules, data definitions, requirements, and success criteria.
• Analyze data and help identify quality issues, trends, patterns, and opportunities for improvement.
• Support data validation and testing efforts to ensure data products are accurate and reliable.
• Partner with Data Product Managers, Engineers, and Analysts to support delivery initiatives.
• Contribute to reporting, analysis, documentation, and stakeholder presentations.

You will have an opportunity to gain the following:

• Experience analyzing data and evaluating data quality across multiple sources.
• Exposure to modern data management and governance concepts.
• Understanding of business requirements gathering and data validation techniques.
• Hands-on experience with analytical tools and data exploration techniques.
• Exposure to cloud-based data and analytics platforms.
• Experience working in Agile environments with cross-functional teams.

Nice to have skills:

• Familiarity with SQL and data analysis concepts.
• Exposure to Excel, Tableau, Power BI, Python, or similar analytical tools.
• Strong analytical and problem-solving skills.
• Attention to detail and ability to think critically when working with data.
• Strong written and verbal communication skills.
• Curiosity and desire to learn new technologies and business concepts.

Qualifications:

• Pursuing a bachelor's degree in Data Analytics, Data Science, Information Systems, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
• Demonstrated interest through coursework, projects, internships, or extracurricular activities involving data, analytics, or technology.

Important Factors:

• Hybrid model of work; Tuesday-Thursday in office.
• Vanguard is not offering visa sponsorship for this position.
• Strong desire to learn, collaborate, and grow in a data-focused environment.

Special Factors

Sponsorship

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.