Jobs

Dell Inc. is a trusted and diversified information-technology supplier and partner, and sells a comprehensive portfolio of products and services directly to customers worldwide. Dell's climb to market leadership is the result of a persistent focus on delivering the best possible customer experience by directly selling standards-based computing products and services. Revenue for the last four quarters totaled $56.7 billion and the company employs approximately 69,700 team members around the globe.

We are seeking a Statistician to report to the Statistician Lead and will analyze, evaluate and measure marketing, consumer and general business efforts in the Marketing Department of Dell Inc. The Statistician will have a strong command of statistical processes and how to apply them in a business setting.

Responsibilities

• Conduct rigorous analysis that will help change the business.
• Balance analytic rigor with the needs of the business
• Be able to effectively communicate the results and insights of the analyses to the Statistician Lead
• Apply quantitative methods including but not limited to: regression analysis, parametric and non-parametric methods and simulation.
• Experienced with applying various types of distributions to analyses including, but not limited to: normal, bi-nomial, pareato, lognormal, exponential and chi-square.
• Support the Statistician Lead as the "goto" resource for quantitative/analytic support for efforts such as sample size, test designs and hypothesis testing.
• Manage multiple projects simultaneously and be able to meet deadlines and effectively set expectations

• Advanced degree (MS or Ph.D.) in a quantitative discipline such as statistics, mathematics, economics or operations research
• A minimum of 2 years using statistical analysis that directly supports revenue generating marketing or other business initiatives.
• Experience with a broad range of analytical processes including: time-series regression, neural networks, forecasting, CHAID, non-parametric, structural equation modeling, hypothesis testing and experimental design, hypothesis testing, ANOVA.
• Strong skills with SAS and SQL.
• Working knowledge of Microsoft Office products: Excel, PowerPoint and Word.
• Comfortable in a dynamic environment