Merchandising Analytics Lead

Job Summary

We are seeking a data-driven Merchandising Support Services Manager to lead merchandising analytics, optimize supplier funding and non-trade income, and strengthen vendor partnerships through actionable insights. Acting as the critical bridge between Merchandising, Sales, Finance, and IT, this role leverages business intelligence to streamline operations, optimize margins, and empower commercial teams with the data required to drive sales growth and profitability.

Key Responsibilities:

• Merchandising Analytics & Insights: Deep-dive into complex merchandising data—including sales performance, inventory levels, and profit margins—to identify market trends, forecast opportunities, and deliver actionable recommendations that drive business decisions.
• Business Intelligence & Reporting Automation: Develop, maintain, and automate dynamic dashboards, KPI monitoring tools, and executive presentations using advanced data analytics platforms. Partner closely with IT to streamline data systems and automate reporting workflows.
• Commercial Optimization: Leverage data to maximize Other Income, evaluate supplier agreements and contracts, and track the ROI of merchandising programs. Identify bottlenecks and lead data-backed process improvement initiatives.
• Team Leadership & Data Governance: Lead and upskill the merchandising support team to foster an analytics-first culture. Establish performance metrics, ensure the highest standards of data accuracy and integrity, and drive initiatives that improve overall service delivery.

Job Qualifications:

• Bachelor’s Degree in Business Analytics, Data Analytics, Information Technology, Computer Science, Statistics, or a related field. (Note: Candidates with a BS Information Technology degree coupled with strong sales analytics experience are highly encouraged to apply).
• 4 to 5 years of progressive experience in retail analytics, business intelligence, merchandising support, or commercial operations.
• Highly proficient in data extraction, manipulation, and visualization tools, including Power BI, SQL, and advanced Microsoft Excel.
• Strong command of retail merchandising metrics, sales reporting, inventory management, and commercial performance analysis.