Senior Analyst Category Management

Location: Bentonville, AR, USA, remote

Work Location: remote local

• Utilizes category leadership skills and processes to create actionable and relevant insights that can be applied to retailer specific category strategies and tactics
• Be able to sell and influence internal stakeholders
• Understand and apply shelving principles and guidelines
• Modular/Planogram strategic ideation and execution, followed by tracking of results
• Analyses of performance within account and ROM to develop actionable recommendations
• Collaborate with sales to couple insights with strategic initiatives and/or sales objectives
• Advanced analytical reporting of panel and pos measures in IRI and Luminate
• Understands and leverages opportunities within demographic measures to capture and retain customers in defined categories.

• Bachelor’s degree required; an equivalent combination of education, training, and relevant experience may be considered.
• Two to three years of related sales, category management, or analytical experience required; five or more years preferred.
• Required experience in category management, shopper insights, or space management.
• Advanced proficiency in Microsoft Excel and strong working knowledge of Microsoft Office applications.
• Advanced Scintilla reporting experience in both pos and shopper behavior required.
• Experience with Power BI preferred.
• Demonstrated ability to analyze complex data, identify meaningful insights, formulate recommendations, and translate findings into clear presentations and customer-ready action plans.
• Strong research and problem-solving skills, with the ability to interpret diverse data sets and develop actionable business recommendations.
• Intermediate knowledge of planogram tables, formulas, and libraries, and coding of highlights and JDA modular drawing.
• Excellent written, verbal, presentation, and interpersonal communication skills, with the ability to influence stakeholders and support effective decision-making.
• Ability to thrive in a fast-paced, team-oriented environment, manage competing priorities, and deliver high-quality work within tight timelines.
• Proven initiative and leadership, including the ability to work independently, take ownership of projects, and drive work through completion.
• Experience in integrating AI systems technologies into everyday analytics.