Senior eCommerce Operations Analyst

Airgas; Radnor (Delaware County); Sur place; USD 90 000 - 130 000; Plein temps

Résumé du poste

Airgas is seeking a result-driven technical analyst for ecommerce operations. You will oversee automated health checks across Salesforce, Coveo, and Viamedici within a headless architecture, shifting teams to exception-based monitoring and actionable insights.

You will evaluate friction points, present ROI-based options, and drive automation scripts (Python/Apps Script) while collaborating with the Merchandising team and DPM.

Qualifications

• 3–5 years in an ecommerce ops or technical analyst role in an integrated enterprise environment.
• Proven track record of daily platform health checks and reliable operational routines.
• Experience presenting technical options (Pros/Cons/ROI) to leadership to aid decisions.
• Experience monitoring data flows between enterprise platforms (PIM, DAM, commerce engines) in headless or integrated setups.
• Experience building utility automation scripts (e.g., Python, Google Apps Script).
• Strong documentation habits and maintenance of an SOP library.
• Ability to analyze support tickets to identify systemic handshake errors.

Responsabilités

• Design and implement automated health-check protocols across core tech stack.
• Shift reporting from manual to exception-based monitoring with actionable outputs.
• Identify operational friction points and evaluate solutions with ROI comparisons.
• Evolve internal utilities and automation scripts based on Merchandising feedback.
• Translate ticket patterns into technical requirements for the DPM team.
• Lead AI-driven documentation and troubleshooting to accelerate efficiency.

Connaissances

E‑commerce operations

Platform health checks

Python automation

Google Apps Script

API integration

Formation

Bachelor’s degree or equivalent

Outils

Salesforce

Coveo

Viamedici

Description du poste

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned to meet the evolving needs of the business.

System Health & Orchestration

• 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.
• 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

• 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."
• 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.
• 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

• SOP Ownership: Own the technical accuracy and organizational standard of the team’s Standard Operating Procedures (SOP) library.
• 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).
• 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.
• Technical Support: Partner with Merchandising Specialists to remove technical bottlenecks, helping them accelerate "speed to shelf" through optimized data ingestion and tool usage.
• 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.

Required Qualifications

• 3-5 years of experience in an eCommerce operations or technical analyst role, specifically within an integrated enterprise environment.
• A proven track record of managing daily platform health checks and recurring operational routines with high reliability.
• Experience identifying business friction points and presenting technical options (Pros/Cons/ROI) to leadership to support decision-making.
• Direct experience monitoring data flows between enterprise platforms (e.g., PIM, DAM, and Commerce engines) in a headless or integrated architecture.
• Experience building and maintaining "utility-scale" automation scripts or tools (e.g., Python, Google Apps Script) that solve specific manual inefficiencies.
• A strong commitment to technical documentation and the maintenance of a transparent SOP library.
• Ability to analyze patterns in support tickets to identify root causes of systemic "handshake" errors between platforms.
• Familiarity with how data moves through enterprise ecosystems like Salesforce Commerce, Coveo, and Viamedici.
• Skilled in using Generative AI and prompt engineering (e.g., Google Gemini, NotebookLM) to accelerate documentation, troubleshoot logs, and generate automation scripts.

Preferred Qualifications

• 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.