Senior CX Data Analyst

Perform analyses of historical data to drive business strategy using advanced analytical methods; visualize and tell compelling stories with data; prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement; acquire and compile structured and unstructured data and verify its quality and accuracy; mentor, coach, train, and develop junior analysts; proactively expand knowledge of business and analytics and share with team members; develop and document best practices; communicate effectively and show flexibility in style with different audiences; explain higher level statistical methods and analytical results to a diverse audience; collaborate with internal partners to understand business strategy, questions, and goals; bring structure to business requests, translate requirements into an analytical approach, and lead project through completion. Company operates on hybrid model with three days in office located in Plano, TX and work-from-home available two days. 

 

Requirements:  

 

Requires Master’s in Applied Mathematics, Statistics, Information Technology and Management, or closely related field and two years of experience in job offered or in IT positions including Analyst and/or Senior Digital Analyst – Marketing; or Bachelor’s and five years of experience. Background in education, training or experience must include demonstrated ability to understand business strategy including bringing structure to business requests, translate requirements into an analytical approach, and lead project through completion; demonstrated excellent analytical skills as well as ability to form hypotheses and draw meaningful insights from disparate data sources; demonstrated ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management; background must include experience with advanced statistical and machine-learning methods including regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis. 

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

We are Vanguard. Together, we’re changing the way the world invests.

For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.

We want to make success accessible to everyone. This is our opportunity. Let’s make it count.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

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.