Data Platforms Business Analyst
Vanguard
Job Overview
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Job Description
About Vanguard
More than 45 years ago, John C. Bogle envisioned an investment company built differently—one without external shareholders, where all profits were reinvested to lower costs. To this day, Vanguard Group maintains this unique structure, prioritizing investor interests over external shareholder demands.
Today, Vanguard stands as one of the world's largest investment management companies, serving over 50 million investors globally. For nearly three decades, Vanguard Australia has dedicated itself to helping individual investors, financial advisers, and superannuation members achieve their long-term financial goals.
The Role: Data Platforms Business Analyst
This is a hybrid role, requiring in-office presence Tuesday through Thursday in Melbourne, VIC.
Join our expanding Data Platforms team within the Chief Data & Analytics Office. In this role, you will be instrumental in shaping how Vanguard designs, delivers, and optimizes data, ensuring trusted, high-quality, and AI-ready data for our business.
What You’ll Do
- Partner closely with data engineers to translate business requirements into clear user stories and documentation.
- Support analysis for the design, build, and rollout of modern cloud-based data solutions, including AWS and Databricks.
- Facilitate requirement-gathering sessions with diverse stakeholders across Vanguard.
- Collaborate with the Product Owner to maintain product backlogs, validate priorities, and clarify acceptance criteria.
- Assist with data quality investigations, root-cause analysis, and process improvements.
- Contribute to governance, documentation, and operational readiness for new datasets and pipelines.
- Work with the team to transform complex technical concepts into business-friendly insights and artifacts.
- Support reporting, metrics, and continuous improvement initiatives aligned with Data Engineering principles.
What We’re Looking For
Qualifications and Essential Skills
- Minimum three years of relevant work experience, including one year in technical writing or business technology.
- Undergraduate degree or equivalent experience; a data-related degree is preferred.
- Strong analytical and problem-solving skills to translate business needs into technical requirements.
- Strong SQL skills.
- Exposure to data engineering concepts (e.g., Data Lakes, Data Models, analytics).
- Exposure to Data Modelling concepts (e.g., ERDs, dimensional modelling, Star Schemas).
- Strong ability to produce documentation (e.g., Source to Target mapping, data dictionary creation, process documentation).
- Experience with data reconciliation and validation.
- Excellent written and verbal communication.
- Ability to work collaboratively with technical and non-technical stakeholders.
- Experience writing user stories, process maps, or business requirements.
Nice to Haves
- Financial services or investment management experience.
- Familiarity with cloud platforms (AWS and Databricks ideal), databases, or data tooling.
- Knowledge of data lifecycle concepts (ETL, data quality, metadata, governance).
- Experience with Agile delivery or JIRA/Confluence.
How We Work
Vanguard operates a hybrid working model for most crew members, balancing flexibility with in-person collaboration. This approach supports learning, connection, and our mission-driven, collaborative culture to achieve client outcomes and enrich the employee experience.
Key skills/competency
- Business Analysis
- Data Engineering
- Cloud Platforms (AWS, Databricks)
- SQL
- Data Modelling
- Data Quality
- Requirements Gathering
- Stakeholder Management
- Technical Documentation
- Agile Methodology
How to Get Hired at Vanguard
- Research Vanguard's mission: Study their unique investor-owned structure, values, and client-first approach.
- Tailor your resume: Highlight experience in data analysis, SQL, cloud platforms like AWS/Databricks, and business requirements translation.
- Showcase problem-solving: Prepare specific examples of how you've translated complex business needs into clear technical requirements.
- Demonstrate Agile proficiency: Discuss your experience with Agile methodologies, user story creation, and tools like Jira/Confluence.
- Understand data governance: Articulate your knowledge of data quality, metadata, and governance principles in a financial context.
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