2018 Summer Internship - Analytics (Graduate Students)

We consider our interns to be our future team members, and we have built our program to reflect this. Our Interns are given project-based work – no making copies all summer. Each intern is given clear objectives to meet, participates in Lunch and Learn sessions with the Leadership Council and has the opportunity to attend multiple team-building activities. Summer ends with our interns giving presentations on what they learned to our Executive Team (including the CEO!) and other key stakeholders in the organization. Our paid internships run from the begining of May 2018 to the end of August 2018.

To be considered for the Summer Analytics Program all candidates should have a GPA of 3.0 or higher and be enrolled in a Master's degree program (or completing their undergrad in May 2018 and continuing onto a graduate program in the fall).

SUMMARY

This position is intended to be an analytically rigorous summer internship opportunity for active Master’s students. The Summer Analyst provides analytical expertise to the Strategy & Insights Center of Excellence, using methodologies from mathematics, data science, statistics, and computer science. The Summer Analyst will interact with leaders on the S&I team as well as functional business leaders across the broader organization. Successful candidates will have strong analytical and communication skills, and should have a desire to learn and experiment.


RESPONSIBILITIES AND DUTIES

• Partner with Marketing, Operations, Supply Chain Services, and other business units within Domino’s to address and solve key business problems.
• Compile data from disparate internal and external sources, transform data as needed, and manage large datasets.
• Identify relationships among data; use statistical methods to interpret the strength of these relationships and the key directional drivers of the relation.
• Implement machine learning techniques to develop and continuously improve predictive models.
• Report out results of statistical analyses. Creatively leverage graphical, numerical, and qualitative techniques to convey results clearly and compellingly. Use the data to tell a convincing story.
• Extract meaningful insights from analytical findings, and further make data-driven recommendations based on these insights.
• Manage a large project end-to-end: synthesize data from disparate sources; develop and execute an analytical plan; generate actionable insights; and present findings to the Leadership Team members.

• Actively pursuing a Master’s degree in Statistics, Mathematics, Operations Research, Data Science, or field of similar quantitative rigor.
• Prior internship experience in an analytics or research position.
• Client-facing experience, including relationship-management, reporting, and deliverable generation.
• Strong working knowledge of SQL – including advanced scripting.
• Proficient in statistics software, e.g. R, Python, Rapidminer.
• Familiarity with machine learning techniques. Working knowledge preferred.
• Experience with data integration (ETL) and ETL toolsets.
• Proficient in Microsoft Office – advanced Excel and PowerPoint functionality.