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Open nowPosted 28 days ago

Digital Commerce Optimization Analyst (Hybrid)

Belk1,418 open roles

Where
Charlotte, NC - Belk Ecomm
Work mode
Hybrid
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Your applicationOpen nowDigital Commerce Optimization Analyst (Hybrid)Belk · Charlotte, NC - Belk Ecomm

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Belk postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 28 days ago

Belk median: 1 days open

The posting

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

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