Lake Forest, IL
Primary Function:
Effectively optimize Grainger.com website by translating data into actionable insights and conducting experiments to implement those insights to drive business results.
Principal Duties & Responsibilities:
* Use analytics (online and offline) to develop actionable insights
* Translate business questions into effectively designed tests and experiments (e.g. A/B, multivariate tests) for different campaigns and programs.
* Collaborate within the merchandizing team on improving product categories, internal search, product recommendations through A/B testing
* Collaborate with eCommerce product management and eMarketing to improve features and functionality, email and landing pages via testing.
* Collaborate with Optimization program project manager to successfully execute ab tests
* Develop documentation for experiments and maintain internal repository e.g. develop test plans and lead test plan walkthrough with team
* Collaborate with external vendors on tests where necessary
Qualifications:
* Bachelor's degree in a quantitative field (Statistics or mathematics degree preferred)
* 2 years Applied data mining/predictive modeling/statistics experience - Ecommerce experience a plus
* Knowledge of and experience in the design and analysis of experiments, estimating power and sample size requirements, estimating effect size
* 2 years experience using statistical analysis tools (SAS, SPSS, R) -(Medium proficiency)
* Experience with SQL in large database environments
* Experience with web analytics tools (e.g. Coremetrics, Omniture)
* Experience with online testing platforms; Test & Target is preferred
* Superior analytical and problem solving skills
* Knowledge of HTML/ Javascript a plus
* Ability to communicate effectively in a manner that is clear, logical and consistent
* Ability to work independently with minimum supervision
*Please apply directly for the position at:http://tinyurl.com/c82c66y.
*Please include a resume with your online application.