Job post for MASUG

The Office of Institutional Research at the University of Memphis is looking for a part-time person with SAS experience.

Contact:

G. Donhardt

@ donhardt@memphis.edu

Please Apply via:

https://www.isg1.net/app/MainInfoReq.asp?R_ID=412638&B_ID=71&fid=1&Adid=

Merchandising analysts are internal consultants for the merchandising department. They provide the data for the line review process as well as a statistical and financial foundation for merchandising decisions regarding pricing and product placement. Specific responsibilities of the position will vary on the basis of project assignment and project role, but typically include:

• Developing and validating statistical models for pricing and product placement.
• Developing and testing predictive models for demand modeling and sales forecasting for better accuracy in stocking decisions for the products.
• Designing Excel tools for utilizing the processes information in the most efficient way.
• Consulting with product managers on business decisions.

Essential requirements include:

• Master’s degree in Business Administration, Statistics, Mathematics, Operations Research, Engineering or closely related disciplines required.
• 2 years experience performing business analysis and track record of increasing responsibility and results or equivalent degree of graduate education.
• Strong written and verbal communication skills including the ability to effectively collaborate with colleagues and clients.
• Strong analytical skills to do statistical modeling and other quantitative and research.
• Possessing at least one of the following skills: Proficiency in SAS (Base and Macros);Proficiency in Excel and VBA programming.

Desirable skills and experience
Industry or academic experience in

• optimization applications for merchandising and product assortment.
• solving large scale optimization problems (linear and integer programming using SAS/OR, CPLEX or other tools).
• developing and testing predictive models for demand modeling and sales forecasting.
• Statistical model building and data mining (Linear and Non-Linear Regression, Multi-nominal choice models, clustering, CART, etc.).
• Additional programming skills (SQL, Java, Perl, Unix Shell, etc.).

Finally, incumbents in this position are expected to possess the ability to think creatively and work effectively with teams of professionals engaged in tackling real-world business problems of retailing.