Web Operations Quality Analyst

Role Overview

The Web Operations Quality Analyst will monitor and analyze outputs from automated site health, accessibility, availability, performance, and broken-link scanning tools, ensuring timely identification and escalation of issues. They will partner with cross-functional stakeholders to drive issue resolution, track progress, and ensure accountability through closure.

What You Will Do

The Web Operations Quality Analyst will perform Closed Loop Corrective Action (CLCA) analysis to identify root causes, implement preventive measures, and improve operational processes. They will develop and deliver executive-ready reports, dashboards, and insights that communicate trends, risks, operational health, and improvement opportunities to stakeholders and leadership teams.

Why It Might Be a Fit

The ideal candidate will have 5+ years of experience in Business Operations, Digital Operations, Site Reliability, Web Analytics, Data Analysis, or related operational roles. They will have strong analytical skills, experience working with monitoring platforms, and excellent written and verbal communication skills.

Requirements

• 5+ years of experience in Business Operations, Digital Operations, Site Reliability, Web Analytics, Data Analysis, or related operational roles
• Strong analytical skills with the ability to interpret large datasets, uncover trends, perform root cause analysis, and generate actionable business insights
• Experience working with monitoring platforms, automated testing tools, dashboards, reporting solutions, or website operational health metrics
• Demonstrated ability to collaborate and influence stakeholders across multiple organizations, driving accountability and timely issue resolution
• Strong understanding of customer experience metrics, operational KPIs, and the ability to connect technical issues with business impact
• Excellent written and verbal communication skills, including the ability to present findings, recommendations, and status updates to leadership and cross-functional teams

Tagged as: Data Analysis