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# Digital Commerce Analyst

- **Company:** AdoreMe, Inc.
- **Location:** Union City, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Information Engineering, Data Integrity, SQL Databases, Web Performance Optimization, Google Data Studio
- **Published:** October 2, 2026
- **Apply:** https://www.disabledperson.com/jobs/75686099-digital-commerce-analyst

## About the Role

* 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.

## Description

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.