Digital Commerce Optimization Analyst (Hybrid)

Belk; Charlotte (NC); On-site; USD 55,000 - 75,000; Full time

Job summary

Belk is seeking an Digital Commerce Optimization Analyst to optimize onsite search, AI-powered shopping, and product recommendations. You will manage day-to-day optimization, reporting, and performance analysis for key customer-facing technologies and drive improvements in search relevance, conversion, and revenue.

The role offers exposure to ecommerce KPIs, A/B testing, and cross-functional collaboration with merchandising, digital, technology, and analytics teams.

Qualifications

• 1-3 years of ecommerce, digital analytics, or related field.
• Strong analytical and problem-solving skills with data-driven decisions.
• Excellent Excel skills and ability to handle large datasets.

Responsibilities

• Own day-to-day management and optimization of onsite search.
• Manage AI-powered shopping experiences and optimize content.
• Support product recommendations and personalization efforts across the site.
• Develop recurring reporting and performance insights for search, recommendations, and AI tools.

Skills

Analytical thinking

Excel proficiency

Attention to detail

Ownership mindset

Curiosity

Cross-functional collaboration

Communication skills

Tools

Microsoft Excel

Job description

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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