Merchandise Analytics Manager

The Merchandise Analytics Manager is a strategic analytics partner to the Business Unit Merchandising and Marketing organization, working closely with our North American Merchandising and Data & Analytics teams to strengthen data-driven decision making across the business.

This role connects business strategy, analytics, and execution by helping teams turn trusted data and insights into clear actions that improve merchandising performance. The Merchandise Analytics Manager will partner across functions including Merchandising, Marketing, Finance, Operations, and Data & Analytics to identify business opportunities, define analytical needs, interpret results, and support adoption of enterprise analytics capabilities.

The ideal candidate combines strong business acumen, analytical thinking, communication, and stakeholder leadership. They are comfortable translating complex data into meaningful business insights and helping leaders understand not only what the data is showing, but what actions should be considered as a result.

This role reports to the Business Unit Marketing Director.

• →Serve as a strategic analytics partner to Business Unit Merchandising and Marketing leaders, helping translate business questions and opportunities into actionable analytical insights.
• →Champion data-driven decision making by helping teams effectively use enterprise data, analytics products, reporting, and insights in day-to-day business processes.
• →Support ongoing evaluation of merchandising performance across areas such as sales, margin, promotions, assortment, category performance, customer behavior, and other key business drivers.
• →Partner with business leaders to identify opportunities, risks, trends, and performance gaps and translate analytical findings into clear recommendations and actions.
• →Work cross-functionally with Business Unit teams, various Merchandising teams, and Data & Analytics to identify analytical needs, clarify business requirements, and improve existing data products, reporting, tools, and processes.
• →Represent Business Unit needs and perspectives in the development and enhancement of enterprise analytics capabilities, providing feedback on functionality, usability, data quality, and business value.
• →Support the adoption of new data and analytics capabilities by helping business teams understand how to interpret insights and incorporate them into existing decision-making processes.
• →Develop and enhance reusable analytical approaches, models, reporting, and frameworks that improve consistency and scalability across merchandising decision making.
• →Create clear, concise, and compelling presentations and narratives that translate complex analytical findings into insights appropriate for business leaders and other stakeholders.
• →Participate in business planning and performance-review processes by bringing relevant data, insights, and recommendations into strategic conversations.
• →Collaborate with the broader global analytics community to share best practices, lessons learned, business use cases, and emerging opportunities across Business Units.
• →Mentor and support the development of junior analytical resources where applicable.

• Bachelor’s degree, or equivalent experience, in Business Analytics, Mathematics, Statistics, Computer Science, Economics, Finance, Business, or a related field.
• Three or more years of progressively responsible experience in analytics, merchandising, retail, business intelligence, strategy, or related discipline.
• Demonstrated ability to translate complex data and analysis into clear business insights, recommendations, and actions.
• Strong business acumen with the ability to connect analytical findings to commercial and operational outcomes.
• Proven ability to communicate effectively with senior leaders through concise, structured written communication, presentations, and executive-level discussions.
• Experience partnering across multiple organizational functions and levels to solve complex business problems.
• Demonstrated ability to lead initiatives through ambiguity, establish structure, align stakeholders, and drive work toward measurable outcomes.
• Strong analytical, critical-thinking, problem-solving, prioritization, and decision-making skills.
• Experience with business intelligence, reporting, analytics, or data visualization tools is preferred.
• Experience supporting the adoption of new analytical tools, processes, or capabilities is preferred.
• Previous experience coaching, mentoring, or developing others is an asset.
• Retail, convenience retail, merchandising, consumer goods, or related industry experience is an asset.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.  Complete physical activity inventory of the position includes:

• Sit for long periods of time.
• Operate computer keyboard and mouse for data entry.
• View computer monitor
• Hear and speak via telephone.
• Reach forward and/or overhead.
• Occasionally lift up to 20 pounds

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.  Working conditions inventory of the position includes:

• The noise level in the work environment is usually moderate at a normal range.
• The lighting will include natural light from the outside as well as fluorescent lighting throughout the work areas.
•  Work with minimum direction and periodic supervision.

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