Digital Commerce Optimization Analyst (Hybrid)

The Digital Commerce Optimization Analyst will play a key role in optimizing the digital shopping experience across onsite search, product recommendations, and AI-powered shopping tools. This role will manage day-to-day optimization, reporting, and performance analysis for several of the most important customer-facing technologies on the site. The ideal candidate is curious, analytical, highly detail-oriented, and eager to learn. This is an opportunity for someone early in their career to develop expertise in ecommerce search, personalization, AI, A/B testing, and customer experience while having a direct impact on web revenue and conversion. Key Responsibilities Onsite Search Optimization • Own day-to-day management and optimization of onsite search, including search rules, boosting, slotting, relevancy, and merchandising strategies. • Monitor search performance and identify opportunities to improve search results, product discovery, conversion, and revenue. • Analyze search reporting to identify trends, anomalies, opportunities, and areas requiring optimization. • Partner with merchandising, digital, technology, and analytics teams to ensure search results align with customer intent and business priorities. • Develop and execute search optimization strategies based on customer behavior, product performance, seasonal trends, and business objectives. • Continuously identify opportunities to test and improve search performance. AI Shopping Assistant & Digital Optimization Tools • Manage and optimize AI-powered shopping experiences, including the AI Shopping Assistant. • Own inputs, content, configuration, and ongoing optimization of the experience. • Analyze performance to understand customer engagement, conversion, revenue contribution, and overall site impact. • Identify opportunities to improve the customer experience, expand use cases, and increase adoption and effectiveness. • Monitor performance and proactively recommend enhancements, tests, and new opportunities. • Stay current on emerging AI and ecommerce optimization capabilities and identify ways to improve the customer journey. Product Recommendations & Personalization • Support the ongoing optimization and performance management of product recommendation experiences across the site. • Monitor product recommendation performance and identify opportunities to improve engagement, conversion, revenue, and product discovery. • Analyze placement and product performance to identify opportunities for optimization and testing. • Partner with cross-functional teams to develop and implement strategies that improve the effectiveness of recommendation experiences. • Continuously evaluate opportunities to expand and improve recommendation capabilities across the customer journey. Analytics & Reporting • Develop and maintain recurring reporting and performance insights for search, recommendations, and AI shopping experiences. • Analyze data to identify trends, performance opportunities, and potential issues. • Translate data into actionable insights and recommendations for business partners and leadership. • Use Excel and other analytical tools to manipulate, analyze, and interpret data. • Learn and apply ecommerce KPIs such as conversion rate, revenue per visitor/session, average order value, engagement, revenue contribution, and other site performance metrics. • Develop a strong understanding of how onsite discovery and optimization tools contribute to overall ecommerce performance. What We're Looking For • 1–3 years of experience in ecommerce, digital merchandising, digital analytics, site optimization, search, marketing, or a related field; equivalent analytical or relevant experience will also be considered. • Strong analytical and problem-solving skills with the ability to identify patterns and turn data into actionable recommendations. • Proficiency with Microsoft Excel, including the ability to work with large datasets, manipulate data, identify trends, and create meaningful analysis. • Exceptional attention to detail and a strong sense of ownership. • Curious mindset with a natural desire to understand why something is happening and what can be done to improve it. • Comfortable learning new technology, platforms, and tools. • Strong organizational skills and the ability to manage • multiple priorities and detailed workstreams. • Ability to think creatively and "outside the box" when identifying optimization opportunities. • Strong written and verbal communication skills. • Ability to work effectively with cross-functional partners across ecommerce, merchandising, technology, analytics, and marketing. • Demonstrated initiative, resourcefulness, and a willingness to take ownership rather than waiting to be told what to do. • Comfortable working in a fast-paced environment where priorities and technology continue to evolve. What Will Make You Successful The successful candidate will be someone who: • Takes ownership • Is naturally curious • Is highly detail-oriented • Thinks beyond the task • Learns quickly • Is a go-getter • Thinks like a customer #LI-SE1 #IND3