Data Analyst, Specialist (CxA)

Core Responsibilities:

• Work closely with business partners to develop data-driven insights and recommendations to improve the client experience.
• Develop and maintain dashboards and reports to track and monitor key performance indicators.
• Collaborate with cross-functional teams to develop and implement solutions to improve the client experience.
• Use statistical techniques to analyze large and complex datasets.
• Analyze customer data to uncover trends and patterns that impact the client experience
• Collaborate with cross-functional teams to design and execute experiments that test hypotheses and measure the impact of new initiatives on customer experience and business performance
• Communicate insights and recommendations to stakeholders across the organization, including senior management, to inform decision-making
• Stay current with industry trends and emerging technologies related to data analytics, customer experience, and financial services

Qualifications:

• Undergraduate degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics or related quantitative field of study or equivalent combination of training and experience.
• 4-6 years of relevant work experience
• Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management
• Demonstrated track record of building strong relationships across technical and non-technical crew
• Strong command of advanced data analysis tools and software (Python, Tableau preferred), and querying languages (SQL)
• Experience working within a cloud-based, big data environment (AWS preferred)
• Highest standards of accuracy and precision; highly organized
• A graduate level degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics or related quantitative field of study (preferred)
• Experience with advanced statistical and machine-learning methods such as: regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis, etc. (Preferred)

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.

Our commitment to diversity, equity, and inclusion

Vanguard’s commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission. We aspire to create a work environment that is inclusive, equitable, and diverse—one that enables our employees, whom we call crew, to thrive and bring their best selves to work every day on behalf of our clients.

Cultivating DEI lifts our entire organization, and everyone shares accountability for our progress—from our senior leaders who lay the foundation and set the example for inclusive behaviors to crew who are growing in their personal DEI learning experiences.

Together, we’re on a mission. We are fueled by the value of diverse voices and connected through friendships and a culture of care—for our clients, our communities, and each other.    

Vanguard’s DEI journey has no finish line. Our commitment is enduring, and we remain focused on the path ahead. To learn more about Vanguard goals and progress toward DEI, download our Diversity, Equity, and Inclusion Report.

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.