Digital Commerce Optimization Analyst (Hybrid)

Belk Inc

  • Charlotte, NC
  • 9 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationCharlotte, NC

    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

    #LI-SE1

    #IND3

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