Manager, Data Analytics & Reporting

Core Responsibilities:

• In Vanguard's Digital and Analytics (D&A) department, our goal is to evolve and enhance our clients' digital experience. The Data & Analytics team for Personal Investor drives strategic decision making & is embarking on a critical transformation to drive D&A's vision of attaining a world class CX.
• CXD's vision is to take a stand for our clients and how they experience Vanguard. CXD promises to create meaningful world-class experiences that exceed client expectations, positioning Vanguard as the trusted financial partner and industry disruptor. Data and analytics are at the heart of activating this vision, enabling us to enhance the client experience, and improve and transform our suite of digital products.
• As an Analytics Manager within CX Alpha, you will play a critical role in leading a team of analysts responsible for delivering a portfolio of strategic projects that involve gathering data, experimentation, deep analysis using descriptive and predictive analytics techniques, visualizing data to deliver actionable insights, influencing business leaders using consultative skills and analytic storytelling. You will interact with a series of stakeholders within our Product, Technology, Finance, UX, Analytics and across the Personal Investor business to transform analytics insights into recommendations for new solutions that improve client investment outcomes for our investors.
• If you are a strategic thinker with a passion for driving innovation and a proven track record in building analytics strategy and managing a team of analysts to deliver complex initiatives end to end in a cross-functional environment, we invite you to apply for this exciting opportunity!

• 10 years related work experience in the data and analytics field
• 4-6 years management experience
• Expert level skills in the following suite of data analysis tools: Data Extraction languages such as SQL.
• Proficiency with relational databases or Big Data platforms, Data Analysis packages (Python, R, SAS etc.) and Data Visualization packages (Tableau, etc.)
• 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.
• Significant experience with advanced statistical and machine-learning methods such as: regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis, etc.
• Stakeholder Management experience

• Undergraduate degree in an analytic/quantitative field such as: Applied Mathematics, Statistics, Economics or related analytical field of study or equivalent combination of training and experience. A graduate level degree in an analytics focused field is strongly preferred