Analytics Fellows

The Wharton Analytics Fellows program unites Wharton MBAs, undergraduates, graduate students, and faculty members in the pursuit of a common goal: tackling out clients’ most complex challenges using the power of analytics.

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Analytics Fellows

Wharton Analytics Fellows is a highly selective fellowship program that allows motivated undergraduates, MBAs, and graduate students to put their analytics skills to the test in the real world. We partner with companies on semester-long consulting engagements; our goal is to help our clients solve their toughest data science problems. Through our partnerships with the Wharton Customer Analytics, Wharton People Analytics, the Wharton Sports Business and Analytics Initiative, and Analytics at Wharton, students are given access to top companies and their data. The deliverables from these projects are put into practice by our clients, giving students the opportunity to see their work have a real impact.

Requirements

We have opportunities available for students of many different experience levels. Undergraduates with little real-world data science should consider applying to be a Junior Analyst; those with extensive coding and statistics experience may become Senior Analysts. For our applicants with the most leadership experience, becoming an Engagement Lead is a rewarding chance to guide a team over the course of a semester.

Benefits

Wharton Analytics Fellows are given the rare opportunity to put their classroom skills into practice. WAF is a very selective program that demands strong technical skills and leadership abilities; those who prove themselves on our project teams will be given opportunities to advance in the organization and take leadership of projects. For those who are successful, WAF can be a multi-year experience that provides access to a community of the best analysts at the University.

RoleQualifications
Business LeadExtensive work and leadership experience, usually in business or consulting. MBAs and upperclassmen usually preferred. Exceptional communication and leadership abilities.
Business LeadHigh-level data science and programming skills. Often a PhD or MSE student with extensive experience in data science and statistics.
Business LeadAdvanced programming, statistics, and modeling skills. We expect 400+ level coursework in CIS or STAT in addition to project or work experience.
Business LeadIntermediate data science skills, typically at the level of STAT 102 or 471. Willingness to learn and work hard.

Articles

How a Penn/Wharton Student Team Is Helping the Barnes Foundation Reach Bigger Audiences

When the Barnes Foundation had questions about its attendance data, a team of Penn students answered through the Wharton Analytics Accelerator Challenge.
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How Philadelphia’s Barnes Foundation Is Leveraging Analytics

Barnes Foundation CFO/COO Margaret Zminda discusses how the museum is using analytics in its decision-making.
READ MORE >>

Selected Projects

Barnes

We provided the Barnes with a model for predictive analysis, incorporating pricing, revenue projection, visitation and attendance behavior, products, and promotional offers.

Moelis

We designed a Bayesian Graphical Model to understand an activist investor’s success and predict the result of proxy campaigns.

San Francisco Giants

We developed a predictive engine to improve ticket sales forecasting by more than 30%.

EA Games

We drive player engagement and retention by predicting online behaviors and using customer-level data.

L’Oreal

We identified drivers of employee attrition and provided recommendations to improve corporate diversity.

SEC

We leveraged performance data to unlock career path insights and kickstart the SEC’s People Analytics practice.

Get Your Company Involved

Interested in working with one of our data science teams? Reach out to our Wharton partners to inquire about partnering with us.

Customer Analytics

Helping companies understand how to better monetize the individual-level customer data through the development and application of new predictive models.

People Analytics

Advancing the practice of people analytics and evidence-based management to help individuals and organizations
thrive.

Wharton Sports Analytics and Business Initiative

Applying data-driven decision-making to find new understanding of the evolving sports business industry.