Senior Business Intelligence Analyst

Overview

On Site
Full Time

Skills

Pivotal
Productivity
Data Visualization
Strategic Leadership
Performance Tuning
Management
Distribution
Visualization
Dashboard
Decision Support
KPI
Forecasting
Modeling
Stakeholder Engagement
Data Governance
Reporting
Roadmaps
Data Engineering
Data Quality
Regulatory Compliance
Analytics
Leadership
Financial Services
Business Intelligence
Microsoft Power BI
Tableau
Data Warehouse
Data Modeling
SQL
Decision-making
Communication
Presentations
Stakeholder Management
Business Data
Science
Computer Science
MBA
Data Analysis
Cloud Computing
Snow Flake Schema
Amazon Web Services
Microsoft Azure
Statistics
Python
R
Machine Learning (ML)
Finance
Collaboration

Job Details

Position Summary

We are seeking a team of strategic and visionary BI analysts to drive data-informed decision-making across the organization. This senior leadership role will play a pivotal part in transforming complex data into clear, compelling narratives and actionable insights that support strategic initiatives, optimize productivity of distribution stakeholders, and deliver business value.

The successful candidate will possess deep expertise in data visualization, data storytelling, and analytics leadership, and will work closely with C-suite executives and business leaders to enable data-driven decision-making at scale.

Key Responsibilities:

Strategic Leadership:
  • Develop and lead the execution of the enterprise-wide business intelligence strategy aligned with the company's strategic goals.
  • Define the BI vision and roadmap, prioritizing initiatives that drive business value and performance optimization.
  • Build and manage a high-performing Distribution Intelligence team, fostering a culture of curiosity, insight, and impact.

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:
  • Serve as the primary BI partner for executive and senior business leaders, understanding their needs and delivering insights that drive value.
  • 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.

Required skills:
  • 7+ years of experience in business intelligence, analytics, or data strategy roles, with at least 5 years in a leadership capacity.
  • 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 skills:
  • 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.

Special Factors

Sponsorship
Vanguard is not offering visa sponsorship for this position.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.