Digital Commerce Optimization Analyst (Hybrid)

Belk•Charlotte, NC

2d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

Takes ownership
Is naturally curious
Is highly detail-oriented
Thinks beyond the task
Learns quickly
Is a go-getter
Thinks like a customer

Responsibilities

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.
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.
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.
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.