Position Details
About this role
Global Payments is expanding its Voice of the Customer (VoC) capabilities through an AI enterprise text analytics program in Qualtrics Engage / XM Discover. The CX Research & Modeling Analyst will design and optimize text analytics models that convert unstructured feedback into organized, accurate, actionable insights.
Key Responsibilities
- Create design and optimization of text analytics models in Qualtrics Engage / XM Discover
- Build scalable frameworks across business units for consistency in VoC
- Develop and maintain rulebased topic models and taxonomy structures
- Use NLP and machine learning to produce sentiment, effort, emotion, and tagging standards
- Partner with CX researchers and business stakeholders to support VoC insights improvements
Technical Overview
You will build and maintain text analytics models using natural language processing (NLP) and machine learning, including rulebased topic modeling, taxonomy development, and sentiment intelligence. The technical scope is centered on Qualtrics Engage / Qualtrics XM Discover with consistent tagging structures and standards across business units.
Ideal Candidate
The ideal candidate is a mid-level analyst who can own and architect an AI enterprise text analytics program using Qualtrics Engage / XM Discover. They have strong natural language processing (NLP) and machine learning experience building rulebased topic models, taxonomy structures, and sentiment intelligence to organize unstructured customer feedback into actionable insights. They collaborate effectively with CX researchers, analysts, and business stakeholders.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
US Citizen or Green Card Holder (no sponsorship, including OPT), Must be able to work a hybrid role with 3 days in office at a Global Payments location in the U.S.
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