Data Analyst, Specialist

Key Responsibilities

Data Storytelling & Visualization:

• Champion the use of data storytelling to influence strategic decisions and drive business outcomes.

• Design and deliver intuitive dashboards, reports, and visualizations that communicate key metrics, trends, and insights to senior leadership.

• Ensure complex data sets are presented in a way that is accessible, compelling, and tailored to the audience.

Actionable Insights & Decision Support:

• Translate data into clear, actionable recommendations to support operational, financial, and strategic decisions.

• Identify and communicate key performance indicators (KPIs), business trends, risks, and opportunities across the organization.

• Lead advanced data analysis projects, including forecasting, segmentation, and scenario modeling.

Stakeholder Engagement & Influence:

• Effectively communicate findings and recommendations to both technical and non-technical stakeholders.

• Influence decision-making through compelling narratives backed by data, promoting a data-driven culture across the business.

Data Governance & Quality:

• Ensure data accuracy, integrity, and consistency across BI tools and reporting environments.

• Collaborate and prioritize roadmaps with data engineering and governance teams to maintain high data quality standards and compliance with regulatory requirements.

Qualifications Required:

• 5+ years of experience in business intelligence, analytics, or data strategy roles

• Experience in the financial services industry or a similarly data-intensive environment.

• Expert-level proficiency with BI tools (e.g., Power BI, Tableau, Qlik) and data storytelling techniques.

• Strong understanding of data warehousing, data modeling, and SQL.

• Proven track record of driving business performance through data-driven decision-making.

• Exceptional communication, presentation, and stakeholder management skills, especially at the executive level.

• Bachelor’s degree in business, Data Science, Computer Science, Finance, or related field.

Preferred:

• Advanced degree (MBA, MS in Data Analytics, etc.)

• Experience with cloud-based data platforms (e.g., Snowflake, AWS, Azure).

• Familiarity with statistical analysis, Python/R, or machine learning concepts.

• Influence high-impact decisions at the executive level.

• Collaborate with top talent across data, finance, and business operations.

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.