- Mine and translate data into meaningful insights and recommendations for the operational and strategic business units
- Answer key business questions by using analytical & statistical techniques on data
- Analyze, interpret & communicate the results of experiments to the business units
- Evaluate and modify statistical methodologies, techniques and processes
- Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives
- Produce segmentation and modeling solutions to support the strategic goals of the company
- Create reports, documentation and scoring code as part of the analysis process.
- Produce expected performance measures including lifts, efficiencies, confidence intervals and other statistical measures
- Measure results of all analysis or programs and clearly communicate results to the analytics leadership team
- Audit statistical analysis for accuracy
- Implement appropriate quality control procedures for analysis, reporting and scoring
- Evaluate and modify statistical methodologies, techniques and processes
- Develop process improvements, share expertise with others and continually strive to improve overall contributions to the department
Qualifications- A flexible analytic approach that allows for results at varying levels of precision
- Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design
- Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.)
- The ability to communicate complex quantitative analysis in a clear, precise and actionable manner
- Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task
- Work independently with minimal supervision
- Be detail-oriented and comfortable with a fast-paced, structured, retail environment
Additional InformationEducation/Certification:A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Economics or a related field
Required Knowledge: Expert knowledge of SAS and SQL
Experience Required: 5 - 8 years professional experience in solving analytical problems using quantitative approaches
