The Vanguard Group

Compensation

Full Description

About the position 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. 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. Requirements • 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. • 5 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, SQL, Tableau) • Experience working within a cloud-based (AWS), big data environment Nice-to-haves • graduate degree preferred • Machine-learning methods: regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis, preferred • Highest standards of accuracy and precision; highly organized