CX Optimization Analyst
EXL
CX Optimization Analyst
EXL
Analyzes business data and runs outsourced operations
The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders.
The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance.
Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice & Digital), Client handling, and web data handling would be added advantage.
Bachelor's/Master's Degree with 3-6 years in Data Analytics, CX Analytics, Conversational AI Analytics, or related roles
Data & Analytics
Conversational AI Performance Analysis
Insights & Optimization
Stakeholder & Business Reviews
EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.
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