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

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