Senior eCommerce Operations Analyst

R10098748 Senior eCommerce Operations Analyst (Open) Location: Radnor, PA (Airgas HO) - Management How will you CONTRIBUTE and GROW? Airgas is elevating the online customer journey by transitioning to a modern, integrated eCommerce ecosystem. We are seeking a Senior eCommerce Operations Analyst to serve as the team's technical optimizer and efficiency orchestrator. In this role, you are a guardian of system health-ensuring data flows seamlessly between our PIM, DAM, and Commerce platforms. We are looking for a disciplined, self-starting professional who uses an 'efficiency mindset' to transform manual routines into automated, reliable processes. The ideal candidate is an expert at leveraging AI tools to solve technical challenges, document complex workflows, and iterate on internal utilities based on user feedback. You are someone who evaluates business problems through a pragmatic lens, providing technical support for supplier integrations and recommending the most effective paths forward to ensure operational excellence . High personal accountability and professional consistency are essential to ensure the team remains synchronized and responsive. KEY RESPONSIBILITIES ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned to meet the evolving needs of the business. System Health & Orchestration 1. Automated Monitoring: Design and implement automated health-check protocols across the core tech stack (Salesforce, Coveo, Viamedici, etc.). Use AI tools to monitor the "handshakes" between platforms, ensuring product data and assets flow seamlessly through our headless architecture. 2. Consistency Oversight: Shift the team from manual reporting to exception-based monitoring; ensure that system checks are consistent, documented, and yield actionable data. Efficiency & Problem Synthesis 1. Option Evaluation: Identify operational friction points and evaluate potential solutions. Present "Option Evaluations" to leadership, comparing the ROI of a process change, a third-party tool "buy," or an AI-assisted internal "build." 2. User-Led Iteration: Continuously evolve and enhance internal utilities and automation scripts based on direct feedback from the Merchandising team, ensuring tools remain pragmatic, user-friendly, and functionally relevant. 3. Root Cause Analysis: Analyze ticket patterns to identify systemic "handshake" errors or platform gaps. Translate these findings into clear technical requirements for the Digital Product Management (DPM) team. AI-Driven Operational Hygiene 1. SOP Ownership: Own the technical accuracy and organizational standard of the team's Standard Operating Procedures (SOP) library. 2. AI Leverage: Act as the team's lead "Prompt Engineer," utilizing Generative AI (Google Gemini, NotebookLM) to accelerate the creation of documentation, debug platform logs, and generate efficiency-driving scripts (Python/Apps Script). Merchandising Enablement & Guidance 1. Integration Support: Serve as the technical support resource during strategic discussions regarding the "wiring up" of supplier PIM systems to our internal PIM via API connections. 2. Technical Support: Partner with Merchandising Specialists to remove technical bottlenecks, helping them accelerate "speed to shelf" through optimized data ingestion and tool usage. 3. Mentorship: Provide technical guidance and "second-level" troubleshooting support to the eCommerce Operations Analyst, ensuring a shared high standard of operational excellence across the team. JOB INTERACTION NETWORK INTERNAL 1. Digital Merchandising Team 2. Promotions & Personalization Team 3. User Experience Team 4. Web Operations (Digital Product Management, Digital Quality Assurance) 5. Creative 6. Digital Marketing EXTERNAL 1. * Viamedici** 2. Coveo 3. Salesforce 4. Accenture 5. EPAM 6. Product Manufacturers 7. Other 3rd Party Vendors ________________________ Are you a MATCH? REQUIRED EDUCATION & QUALIFICATIONS Required Education : 1. Bachelor's degree in a technical or business-related discipline (e.g., Computer Science, Information Systems, Business Administration, or Communications); or equivalent professional experience in eCommerce operations and data management demonstrating advanced technical logic and problem-solving skills. Required Length & Type of Experience : 1. 3-5 years of experience in an eCommerce operations or technical analyst role, specifically within an integrated enterprise environment. 2. Operational Consistency: A proven track record of managing daily platform health checks and recurring operational routines with high reliability. 3. Technical Option Evaluation: Experience identifying business friction points and presenting technical options (Pros/Cons/ROI) to leadership to support decision-making. 4. System Synchronization: Direct experience monitoring data flows between enterprise platforms (e.g., PIM, DAM, and Commerce engines) in a headless or integrated architecture. 5. Pragmatic Automation: Experience building and maintaining "utility-scale" automation scripts or tools (e.g., Python, Google Apps Script) that solve specific manual inefficiencies. 6. Hybrid Accountability: Demonstrated success working independently in a hybrid environment, maintaining consistent professional core hours without constant supervision. Knowledge, Skills & Abilities : AI-Augmented Operations: Skilled in using Generative AI and prompt engineering (e.g., Google Gemini, NotebookLM) to accelerate documentation, troubleshoot logs, and generate automation scripts.