Lead Data Analyst (Mobile)

The candidate will act as a thought leader, using advanced analytics and experiments to shape the product roadmap and digital strategy. Key responsibilities include mentoring junior analysts, identifying core business questions, selecting appropriate analytics methods, and clearly communicating results and product value to stakeholders.

Core Responsibilities:

Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for large strategic initiatives. Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness. Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts. Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. Develops, owns and manages recurring analytic or reporting processes. Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Participates and presents during scheduled analytics seminars. Participates in special projects and performs other duties as assigned.

Qualifications:

7+ years related work experience within analytics Experience using Python and SQL (Advanced) Experience using visualization tools (Tableau) Experience with experimentation and casual inference methods Experience creating decks and presenting to senior stakeholders Experience working under tight deadlines and meeting expectations

Preferences:

Independently identifying opportunities, and developing quasi-experimental analyses to drive high-value product outcomes Independently identifying opportunities, and developing advanced experimentation design and analyses for product optimization Independently building / leading projects involving advanced analytics (E.g. Machine Learning) to drive quantifiable business outcomes Deep understanding of, and some experience applying Behavioral Economics research to business use cases Undergraduate degree or equivalent combination of training and experience. Graduate degree 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. 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.