Principal Data Analyst, HyperPersonalization

Our mission is to deliver insights, AI/ML solutions, and data-driven strategies in order to attract, retain and position high-value investment products and services to existing and future clients. This role will be responsible for the expansion of our experimentation and forecasting capabilities, thought leadership and producing analyses to supporting the migration of our engagement to our program.

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 enterprise-wide strategic initiatives.
• Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness. Leads the development of data quality standards, and the tools and methods used to measure and improve data quality.
• Performs analyses of data from multiple sources to surface trends and insights using advanced analytical methods and machine learning. 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 senior leader stakeholders to implement.
• Develops, owns and manages recurring analytic or reporting processes. Demonstrates expertise in data visualization and mentors analysts on data visualization best practices.
• Develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Stays abreast of emerging trends and external best practices. Participates and presents during scheduled analytics seminars.
• Participates in special projects and performs other duties as assigned.

• Ability to build strong relationships with senior business partners
• Exceptional data storytelling through visualization
• Problem solving and conceptual thinking skills through for analytically driven solutions
• Modeling experience with coding knowledge in SQL and Python
• Strong data, technical and financial acumen
• 12 years of corporate experience and 10 years of advanced analytics experience

• Minimum of eight years related work experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.