Company Name: Sears Import - OLD
Job Details
Duration: Permanent
Min Education: Not Specified
Salary: Commensurate
Job Type: Full Time
Min Experience: Not Specified
Required Travel:
  • USA - Madison Wisconsin, 53703
Job Description
Lands’ End is a premier source of apparel and gear for women, men, kids and the home – sold by catalog, online, and nearly 300 Lands’ End Shops at Sears. Since 1963, we’ve earned a reputation for quality, value and exceptional customer service embodied by one simple promise: everything we sell is Guaranteed. Period.® Lands’ End is a proud member of the Sears Holdings Corporation (NASDAQ: SHLD) family of companies.

As a Sr. Quantitative Analyst, you will play a key role in designing and conducting quantitative analyses that drive strategic business decisions. You will be responsible for data analysis and interpretation using statistical models and other quantitative techniques that can be used to make business decisions. You will also be integral in design and analysis of statistical testing that incorporates catalog, internet, and retail data in an effort to optimize profitablity levels of the business. In this effort, you will work with business leaders to determine what problems need to be solved, and determine viable methods to conduct analysis, including database research, basic statistical analyses, and comparative reporting. Critical to your success will be the ability to communicate effectively, both verbally and in writing, with members of the management team as well as statisticians and programmers.
Successful candidates will have 3 + years quantitative analysis and technical experience with demonstrated ability in the following areas:

• Bachelors or Masters degree in business, quantitative discipline (mathematics, statistics) or equivalent work experience
• Experience in building predictive models for customer selection using SAS
• Excellent analytical and problem-solving skills
• Excellent written and verbal communication skills
• Advanced SAS and SQL programming experience, and experience working with large databases
• Experience using SAS Enterprise Miner in the direct consumer catalog industry preferred

This position may be filled at varying levels, depending on the skills and experience of the selected candidate.