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This position focuses on analyzing merchandise performance and supports data-driven decision making by working with cross-functional partners. It involves developing reusable tools, participating in the annual planning process, and supporting operational excellence while contributing to company goals.
Job Responsibility:
Demonstrate thought leadership and be an Ambassador to Data Driven Merchandising initiatives and an enabler for data-driven decision making
Analyze merchandise performance at the department, cluster, vendor, item and location level, including analyzing store, regional, and business unit performance of pricing, promotion, and item assortment metrics
Support MAM in documenting BU level strategic decisions around pricing, promotions, and assortment
Leverage available tools and reporting to provide timely insights on BU Merchandise performance in a way that facilitates data-driven decision making
Organize, summarize, and visualize data into meaningful insights that communicate complex findings to non-analytical peers
Work with cross-functional partners to identify gaps and make recommendations to improve existing DDM tools and processes
Develop new, reusable tools, models, and approaches to provide partners with insights and recommendations to meet business goals
Actively support MAM on the annual DDM planning process for the business unit
Join the Global Analytical network on data and analytics issues and share experiences with other Business Units
Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, or participating in professional societies
Achieve financial and key result area targets pursuant to Company Plan guidelines.
Requirements:
Bachelor’s degree, or foreign equivalent, in Mathematics, Computer Science, Engineering, Statistics, Business Analytics or a related subject area followed by 2+ years of work experience on data analysis
Computer skills to include navigational ability in a networked environment and proficiency in Microsoft Word and email applications
Intermediate to advanced skills in Microsoft Excel, Access and other data visualization platforms (PowerBI, Tableau)
Experience with SQL is a plus
Demonstrated ability to communicate effectively both verbally and in writing
Ability to manage multiple activities and prioritize projects and tasks
Demonstration of outstanding analytic skills, logical reasoning, data interpretation and the ability to resolve complex issues
Experience working with individuals from different organizational functions and at different levels
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