eCommerce Catalog & Data Optimization Analyst at firstmovr - a US-based eCommerce accelerator, a satellite Center of Excellence for eCom education and change management (remote).

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11d • Remote

About The Position

We are seeking a detail-oriented Analyst to support the audit, cleanup, and optimization of a wine and spirits product catalog across PIM platforms, including Salsify and Syndigo.
This role focuses on structured data quality, attribute standardization, catalog remediation, and ensuring retailer-ready product content across key channels. The ideal candidate is highly organized, comfortable working with structured data, and capable of executing independently within defined standards.

Requirements

• Strong Excel skills and confidence working with structured data
• Comfortable learning and navigating systems such as Salsify or similar PIM platforms
• Understanding of digital commerce and online merchandising principles
• Basic design skills (e.g., Photoshop or similar tools) to create simple infographics and visual assets
• Ability to coordinate and review work from external agencies to ensure accuracy and brand alignment
• Not afraid of systems, processes, and cross-platform workflows
• High attention to detail and ownership mindset — ensuring content is correctly uploaded, published, and live

Responsibilities

• Audit, enrich, standardize, and publish product data for a selected number of parent SKUs, including variants, across Salsify IDs using VIP data, brand materials, and retailer attribute requirements.
• Conduct a structured audit of existing product records to evaluate completeness, internal consistency, and alignment with retailer ingestion requirements
• Identify missing, conflicting, or outdated attributes that may block syndication, suppress discoverability, or cause retailer content rejection
• Validate variant relationships (parent-child hierarchy, pack configuration, flavor/format mapping) to ensure correct grouping and navigation on retailer PDPs
• Cross-reference brand sources, VIP logistics data, and retailer specifications to detect discrepancies affecting accuracy and shopper trust
• Document retailer-specific compliance gaps and prioritize fixes based on risk to publishing, filtering, and search indexing
• Populate mandatory and recommended retailer attributes (dimensions, alcohol %, pack count, storage, origin, materials) to unlock filtering, faceting, and shelf placement eligibility
• Normalize units, formatting, and measurement conventions to ensure consistency across SKUs and prevent ingestion conflicts across retailers
• Align naming conventions and variant structures to create a clear, scalable catalog architecture across product families
• Standardize attribute values to retailer taxonomies to improve discoverability in category navigation and search refinement
• Resolve duplicate or conflicting entries to prevent catalog fragmentation and shopper confusion
• Publish updated product records in Salsify following validation and readiness checks
• Verify downstream propagation to retailer endpoints and confirm data acceptance where applicable
• Perform post-publish QA to confirm correct mapping, grouping, and visible PDP output
• Maintain a structured change log to ensure traceability and support future updates or troubleshooting
• Develop retailer-tailored descriptions optimized for platform formatting rules, character limits, and merchandising expectations
• Adapt messaging to category shopper behavior while maintaining brand positioning
• Ensure compliance with alcohol and regulatory communication standards to prevent suppression or removal
• Create structured bullet frameworks highlighting differentiation, usage occasions, and purchase triggers
• Prioritize decision-making information that reduces hesitation and improves conversion confidence
• Format bullets per retailer rules to maximize readability and prevent formatting rejection
• Populate merchandising attributes that power filtering, faceting, and recommendation systems
• Align attributes to retailer taxonomy logic to improve category placement and search coverage
• Optimize attribute coverage to support algorithmic ranking and shelf visibility
• Rewrite titles following retailer naming logic and indexing patterns
• Include required identifiers (brand, varietal, size, pack configuration) in priority order
• Maintain consistent structure across variants to strengthen search matching and reduce duplication
• Structure enhanced content modules into a logical storytelling flow supporting education and differentiation
• Align content hierarchy with shopper decision journey from awareness to purchase
• Ensure mobile-friendly readability and clear visual scanning behavior
• Coordinate copy and assets to create cohesive brand presentation across products
• Audit existing visuals and identify gaps preventing clear communication of product benefits and usage
• Align messaging hierarchy between PDP copy and visual storytelling
• Prepare detailed briefs for agencies to ensure efficient production and minimal revision cycles
• Review agency drafts and provide structured feedback focused on clarity, accuracy, and conversion effectiveness
• Validate claims, product specifications, and regulatory considerations
• Maintain consistency across SKUs to reinforce brand recognition and portfolio cohesion
• Prepare finalized assets for retailer upload and module placement
• Match visuals to retailer layout requirements and module behavior
• Confirm correct placement and rendering after publishing
• Compile product information from structured data and brand sources into web-ready content
• Align website messaging with retailer PDP positioning to ensure consistent consumer experience across channels
• Structure product and collection content for clarity and navigation
• Coordinate stakeholder revisions and finalize publication-ready content

Benefits

• Full-time job (8 working hours per day, 5/2). Please note that we will not consider students and candidates planning to combine several jobs.
• Remote work. You may be located in almost any city, just need a good Internet connection, a computer to work from, and an opportunity to work the needed hours in the team’s time zone.
• A great opportunity for professional development and growth in the e-commerce field.
• A lifetime opportunity to work with big corporations while still being part of a fast-growing startup.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed