Quality Analyst - Primary Authorize.net

Visa Visa · Fintech · Bogota, Colombia, CO

The Quality Analyst role at Visa focuses on advancing quality, risk, and control monitoring within customer interactions and operational processes. This role utilizes AI-enabled quality tools and advanced analytics to identify trends, root causes, and emerging risks. A key responsibility is supporting human-in-the-loop AI quality monitoring by reviewing and providing feedback on AI-generated scores to improve model performance. The analyst will also partner with stakeholders to translate quality findings into actionable insights and remediation strategies, ensuring the governance and accuracy of AI models used for quality assessment.

What you'd actually do

  1. Perform end‑to‑end quality reviews of customer interactions across voice, chat, email, case, and back‑office channels, ensuring accuracy, consistency, and compliance with documented standards.
  2. Support human‑in‑the‑loop AI quality monitoring, including reviewing assisted and automated scoring outputs and providing structured feedback to improve model performance.
  3. Identify quality defects, compliance risks, behavioral gaps, and control failures through manual and AI‑enabled analysis.
  4. Analyze quality, risk, and control data across segments, channels, and time to identify trends, systemic issues, and emerging risk themes.
  5. Leverage AI tools (e.g., Copilot, assisted scoring, topic mining, speech and text analytics) to accelerate insight generation while validating AI outputs for accuracy and defensibility.

Skills

Required

  • Quality assurance, testing, risk, or control monitoring activities in a customer service or operations environment
  • Conduct manual quality reviews and support AI-assisted quality monitoring
  • Analytical and critical-thinking skills
  • Identify trends, root causes, and performance gaps
  • Microsoft Office tools (Excel, PowerPoint, Word)
  • Navigating multiple systems and data sources
  • Document findings
  • Communicate insights
  • Collaborate effectively with cross-functional stakeholders
  • Analyze quality signals across both human-delivered and AI-delivered interactions
  • Data visualization and analytics tools (e.g., Power BI, Tableau)
  • Translate automated quality outputs into prioritized coaching, remediation, or process improvement insights
  • Familiarity with AI-enabled quality tools, speech/text analytics, and assisted scoring methodologies

Nice to have

  • Experience performing quality assurance, testing, risk, or control monitoring activities in a customer service or operations environment
  • Demonstrated ability to conduct manual quality reviews and support AI-assisted quality monitoring under moderate supervision
  • Strong analytical and critical-thinking skills with the ability to identify trends, root causes, and performance gaps
  • Proficiency with Microsoft Office tools (Excel, PowerPoint, Word) and experience navigating multiple systems and data sources
  • Ability to clearly document findings, communicate insights, and collaborate effectively with cross-functional stakeholders
  • Experience analyzing quality signals across both human-delivered and AI-delivered interactions
  • Proficiency with data visualization and analytics tools (e.g., Power BI, Tableau) to build dashboards and performance reporting
  • Experience translating automated quality outputs into prioritized coaching, remediation, or process improvement insights
  • Familiarity with AI-enabled quality tools, speech/text analytics, and assisted scoring methodologies

What the JD emphasized

  • AI‑enabled quality intelligence
  • governance of Hu & AI driven quality models
  • AI-assisted quality monitoring
  • AI-driven quality signals

Other signals

  • AI-enabled quality intelligence
  • governance of Hu & AI driven quality models
  • AI-assisted quality monitoring
  • AI-driven quality signals