Data Analyst, Senior Specialist / Data Scientist (Decision Analytics / Modeling)

Analyzes data, assesses trends and develops actionable insights and recommendations in support of enterprise-wide strategic business initiatives. Develops the analytics community at Vanguard by coaching others internally and participating in external events.Role SummaryAt Vanguard, we are advancing how data informs decision-making by developing deeper insight into how business actions drive client and operational outcomes. This role sits at the intersection of advanced analytics, product development, and business strategy, helping the organization move beyond describing what happened to understanding why it happened and what to do next.As a Data Scientist, you will serve as a builder and architect of a decision product that integrates causal analysis, predictive modeling, and optimization to support high-impact business decisions. You will design the analytical engine that powers this product—defining how relationships are modeled, how uncertainty is quantified, and how outputs are generated for decision-making.This role is well suited for someone who is technically rigorous, intellectually curious, and motivated by building analytical systems that operate in real-world environments.Key ResponsibilitiesDesign and develop the analytical engine that underpins a decision product, including how relationships are modeled and outputs are generatedApply causal inference techniques across both experimental and non-experimental settings, including situations where randomized testing is not feasible, practical, or cost-effectiveLeverage predictive modeling and optimization approaches to support decision-making and scenario analysisTranslate complex business questions into structured analytical frameworks and scalable solutionsBuild production-quality analytical components that integrate into decision systems and can be deployed in partnership with engineering teamsEnsure model outputs are robust, interpretable, and appropriately reflect uncertainty and underlying assumptionsPartner cross-functionally with product, engineering, and business stakeholders to align the analytical engine with user needs and decision workflowsContinuously evaluate and improve modeling approaches to ensure accuracy, reliability, and business impactQualificationsMaster’s or PhD in a quantitative field such as statistics, economics, mathematics, data science, operations research, or a related discipline; or equivalent combination of education and relevant experience5+ years experience applying advanced analytical techniques, including causal inference, predictive modeling, and/or optimization5+ years experience using quasi-experimental or observational methods to evaluate business interventions in real-world settingsProficiency in Python, R, or similar tools, with the ability to write clean, scalable, and production-ready codeStrong understanding of statistical modeling, inference, and data analysisAbility to design analytical frameworks that support decision-making under uncertaintyDemonstrated ability to work effectively in cross-functional and ambiguous environmentsSpecial FactorsSponsorshipVanguard is not offering visa sponsorship for this position.About VanguardAt 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 WorkVanguard 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.