Information technology helps drive what’s good about the world — and Ingram Micro Inc. fuels IT. If it’s hardware, software, middleware, anywhere, chances are it came through us. A Fortune 100 company, and the largest IT distributor in the world, Ingram Micro enables the companies that make the latest and greatest IT products — and the companies that sell and use them — to do their thing as efficiently and profitably as possible. How do we do it? With our hyper-efficient supply chain logistics engine; with our world-class sales, marketing and financial support organizations; and, mostly, with our people. We employ the finest people in the industry. Smart, talented, passionate, creative individuals, working as a team toward one goal: to be the best choice of IT providers in the world. Because we like to take care of our own, we offer a full benefits package starting on the first day of employment, and abundant support for professional and personal advancement.
Develops and analyzes data models that generate knowledge into the project owner's business objectives. Utilizes reports of findings and creates appropriate materials to communicate the findings. He or she will maintain a broad understanding of Ingram Micro's business model along with becoming educated on particular vendors customers or internal division's business models and needs.
Education: Bachelor's degree with emphasis on quantitative analysis or an additional 3-5 years' relevant experience and 2 to 5 years' of quantitative analysis experience in either Business Intelligence or Pricing metrics OR Master's degree and 1 year experience internal or external experience.
Experience: Experience in analysis of large data sets identifying trends and patterns and effectively communicating both internally and externally. Advanced skills in MS Excel MS Access SQL Experience using major statistical analysis packages (i.e. SPSS SAS Stats). Experience with Business Objects and Xcelsius helpful. Must have managed at least one project in which a relational database was built and utilized for analysis.