Digital Commerce Analyst

Applied Labs; New York (NY); On-site; USD 90,000 - 135,000; Full time

Job summary

Adore Me, a Victoria’s Secret & Co. subsidiary, seeks a data-driven Analyst to own visibility of digital and merchandising performance, turning complex data into actionable insights and presenting findings to senior leadership.

Sitting at the intersection of analytics and site merchandising, you will partner with Site Merchandising, Finance, and Tech/Data teams to drive conversion, optimize offers, and build key dashboards, with on-site Tribeca work three days a week.

Qualifications

• Bachelor's degree required; Master's in engineering and/or business a plus.
• Fluency in SQL (BigQuery) and hands-on experience building in Looker Studio comfortable pulling and modeling data directly, not just consuming dashboards.
• Curiosity about applying AI to analytics workflows and the initiative to explore it.
• Strong analytical rigor paired with a results-driven mindset; experience with customer segmentation, cohorts and LTV is a plus.
• Proven ability to own your scope end-to-end and manage projects autonomously.
• Excellent communication and storytelling skills for presenting to senior leadership.

Responsibilities

• Own the visibility and understanding of our digital and merchandising performance.
• Monitor the KPIs that explain how the site performs day to day, from the conversion funnel to categories performance, including navigation behavior and basket analysis.
• Translate insights into clear recommendations and concrete ways to improve performance.
• Partner with Site Merchandising to turn findings into merchandising action and keep senior leadership readied with a decision-ready view.
• Own the analysis behind offer, merchandising, and banner tests; structure reads, document results, and communicate actionable recommendations.
• Connect experimentation and performance into a coherent point of view for strategic decisions on offers and merchandising.
• Own a core set of performance and merchandising dashboards; ensure data integrity and evolve dashboards as needs change.
• Collaborate with data engineering and tech teams to ensure tracking accuracy and proper analytics tool implementation.
• Proactively surface opportunities to improve merchandising efficiency, reduce friction, and lift conversion.
• Explore how AI can sharpen and scale the way we analyze performance.

Skills

SQL (BigQuery)

Looker Studio

Data storytelling

Cross-functional collaboration

AI in analytics

Retail/e-commerce analytics

Education

Bachelor's degree

Master's in engineering and/or business

Tools

Looker Studio

BigQuery

Excel / Sheets

Job description

Adore Me, a subsidiary of Victoria’s Secret & Co. (NYSE: VSXY) since being acquired in December 2022, is seeking a data-driven, result-oriented Analyst to own the visibility and understanding of our digital and merchandising performance. Sitting at the intersection of analytics and site merchandising, this person turns complex data into clear insights that shape how we merchandise the site, structure our offers, and drive conversion, owning their scope end-to-end and presenting findings with confidence to senior leadership. This role sits within the Insight & Analytics team within the Marketing team, with a strong tie to Site Merchandising. It's a high-visibility role with a path toward Senior Analyst or broader merchandising-strategy ownership.

Responsibilities:

Digital Merchandising Performance:

• Own the analysis and narrative behind our digital performance.
• Monitor the KPIs that explain how the site performs day to day, from the conversion funnel to categories performance, including navigation behavior and basket analysis.
• Understand what's driving performance, surface the risks and opportunities behind the numbers, and translate them into clear recommendations and concrete ways to improve.
• Partner closely with Site Merchandising to turn those findings into merchandising action, and keep senior leadership equipped with a decision-ready read on where we stand and why.

Experimentation & Strategic Decisions:

• Own the analysis behind offer, merchandising, and banner tests — structuring the read, documenting results, and communicating clear, actionable recommendations.
• Connect experimentation and overall performance into a coherent point of view that informs the strategic decisions we make on offers, merchandising, and how we drive conversion.

Dashboard & KPI Ownership:

• Own a core set of performance and merchandising dashboards: keeping them accurate and reliable, evolving them as needs change, and acting as the go-to source of truth for the questions they answer.
• Collaborate with data engineering and tech teams to ensure data integrity, tracking accuracy, and proper implementation of analytics tools.

White Space & Innovation:

• Proactively surface opportunities to improve merchandising efficiency, reduce friction, and lift conversion.
• Explore how AI can sharpen and scale the way we analyze performance: a genuine open space for the right person to shape.

Qualifications:

• 4+ years of experience in analytics, ideally in retail, e-commerce, or digital performance.
• Bachelor's degree required; Master's in engineering and/or business a plus.
• Fluency in SQL (BigQuery) and hands-on experience building in Looker Studio (or other visualization tool) comfortable pulling and modeling data directly, not just consuming dashboards.
• Curiosity about applying AI to analytics workflows, and the initiative to explore it.
• Strong analytical rigor paired with a genuinely result-driven mindset: you connect data to business outcomes, not just reporting - experience with customer segmentation, cohorts and LTV is a plus.
• Proven ability to own your scope end-to-end and manage your own projects and priorities autonomously.
• Excellent communication and storytelling skills, with the ability to present clearly and credibly to senior leadership.
• A great eye and sensitivity for lingerie products, with a real appeal for retail and merchandising.
• Comfortable working cross-functionally across Performance/Marketing, Finance, Merchandising, and Tech/Data teams.
• Ability and willingness to work on-site at our office in Tribeca 3 days per week.