Job Description

The Sr Analyst - Pricing Data Science will be responsible for the development and deployment of quantitative models related to pricing, promotions, and clearance. We firmly believe that the strategic use of deep analytics is critical to driving competitive advantage, discipled decision-making and enhanced profitability in the modern retail domain. To this end, this Team Member will strive to deliver best-in-class decision support through adoption of modern predictive frameworks, including Machine Learning algorithms, alongside traditional analytic techniques deployed to transform data into execution-ready strategies. Major Activities Data Mining, Model Building, Reporting Work with large scale and complex traditional and non-traditional data sources to identify opportunities that enhance performance and efficiency of discounting and base pricing. Demonstrate strong expertise in leveraging quantitative tools and approaches to transforming raw data into insights, such as data mining, dimension reduction, segmentation, response modeling, and designing of experiments. Develop advanced algorithms to derive insights and make recommendations for optimizing business results in pricing. Ensure that the data used for algorithms/Model development is reliable and robust and that it adheres to industry standards. Leading the preparation and management of complex data is essential for ensuring model integrity. Strong understanding of business-related characteristics, as well as proper handling of data anomalies and missing values are critical success factors. Model monitoring and reporting Once models are deployed, ongoing monitoring of accuracy along with recommendations for refinement will be a key part of the job In the beginning, monitoring will start based on accuracy of current analytics on the team Business Insights & Cross Functional Partnerships Partner with marketing and merchandising to set priorities, get feedback on analysis, and build buy in to change decisions. Partner with IT and central Analytics team around best practices, data storage, analytical tools, and other topics needed to drive progress on the team. Other duties as assigned Minimum Education ~ Bachelor’s degree in relevant quantitative field required Minimum Special Certifications or technical skills ~ Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling Minimum Type of experience the job requires A minimum of 2+ years of relevant work experience in decision sciences Demonstrated skill communicating complex analysis to non-experts Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts Preferred: Advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields); MS in a quantitative field preferred Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

Job Tags

Work experience placement, Local area,

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