Sr Lead Data Analyst (Marketing Advanced Analytics)
This role will be pivotal in enhancing the performance of our marketing campaigns through advanced analytics, predictive modeling, and data science techniques. The ideal candidate will have a strong foundation in marketing analytics, statistical modeling, and campaign optimization, with the ability to translate complex data into actionable insights that drive ROI. This role suits someone who thrives at the intersection of marketing strategy, analytics, and data science. They will excel at addressing complex business questions using compelling analytical strategies and communicating these solutions to both technical and non-technical audiences to influence swift implementation. In this role you will: · Translate marketing and business needs into analytical requirements E.g., data, models required to build strategic analytical solution · Establish the analytical framework to successfully deliver business OKRs · Design a robust and streamlined data-lead strategy to drive marketing optimization at scale · Run BAU, proposed and other “what if” scenarios assessments to validate approach and evaluate impact · Design an actionable marketing operations and experimentation roadmap · Build consensus and influence senior stakeholders to gain confidence in analytics proposals · Continuously evangelize analytical and data-driven problem solving, strategic mindset & experimentation best practices across the organization What it takes: · Minimum of eight years of related work experience with five years in advanced marketing strategy and optimization analytics · Bachelors degree in Marketing, Statistics, Data Science, Economics, or related field (Masters preferred) · Proficiency in Excel, SQL, Tableau, Python for data manipulation, optimization algorithms and modeling using big data cloud platforms · Understanding of A/B testing, regression, hypothesis testing, and statistical significance · Familiarity with Marketing and Funnel KPIs like ROI, LTV, Attribution Metrics, Engagement Metrics · Ability to translate complex data into actionable insights for non-technical stakeholders · Critical thinking & problem-solving skills to identify optimization opportunities and designing experiments · Working cross-functionally and collaboratively with partner and support organizations E.g., Marketing, Sales, MarTech, Data Science, Data Engineering and other Analytics teams 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. Vanguard, one of the world's leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.
