• Analyze large and complex datasets to uncover trends, patterns, segmentation strategies and opportunities across various aspects of the retail business (e.g., sales, customer behavior, inventory, promotions, digital performance, marketing strategies) • Develop and deliver clear, actionable insights and recommendations to senior leadership and stakeholders • Design and build reports, and visualizations using tools such as Tableau, Business Objects, Excel to support teams across the business • Work closely with stakeholders across merchandising, merchandise planning marketing, supply chain, finance, and store operations to understand analytical needs and deliver impactful solutions for assigned departments to optimize inventory • Create predictive models and conduct scenario analysis to support strategic planning and decision-making • Monitor key performance indicators (KPIs) and provide regular updates and commentary to possible forecast adjustments • Work closely with IT and data engineering to improve data pipelines, reporting accuracy, and scalability of analytics solutions • Track and optimize performance across channels (retail stores, e-commerce, clienteling, events) to improve conversion and ROI • Provide insights into product performance and inventory turns, with a focus on high-value, slow-moving SKUs such as engagement rings, loose diamonds, and custom jewelry • Partner with merchandising and inventory teams to forecast demand, identify product trends, and recommend assortment changes • Collaborate with the e-commerce and marketing teams to analyze digital funnel performance, email campaigns, and paid media ROI • Support pricing and promotional analysis to ensure competitiveness and profitability inclusive of retail price adjustment recommendations.