Customer Success Analyst – Data & AI for Supply Chain

AppleOne Employment Services; San Juan (PR); On-site; USD 50,000 - 55,000; Full time

Job summary

AppleOne Employment Services is seeking a Customer Success Analyst in San Juan, PR to support data analytics and AI-enabled supply chain services for healthcare and medical devices. This role emphasizes turning data insights into practical business recommendations and ensuring enterprise customer success.

The position requires data analytics expertise, strong communication, and cross-functional collaboration in a fast-paced, regulatory environment.

Qualifications

• Bachelor's degree in data analytics, supply chain management, industrial engineering, business intelligence, or related field.
• 3–5 years of experience in data analytics, supply chain analytics, customer success, or technical support roles.
• Ability to interpret analytics outputs and communicate findings clearly to technical and non-technical audiences.
• Customer-facing communication skills with the ability to build trust and resolve issues.

Responsibilities

• Provide customer support, analytics guidance, and incident management for data analytics and AI-enabled supply chain service products.
• Translate analytics outputs into clear, actionable operational recommendations.
• Monitor customer performance, identify risks, and support customer success plans that drive satisfaction and retention.
• Serve as the Voice of the Customer by capturing feedback and sharing insights for product and service improvement.
• Support a global customer base across time zones.
• Help strengthen supply chain reliability and service confidence in regulated environments.

Skills

Data analytics

Customer success

Communication

Incident management

Cross-functional

Education

Bachelor's degree

Job description

AppleOne Employment Services is seeking a Customer Success Analyst in San Juan, PR to support data analytics and AI-enabled supply chain services for healthcare and medical devices. This role emphasizes turning data insights into practical business recommendations and ensuring enterprise customer success.

The position requires data analytics expertise, strong communication, and cross-functional collaboration in a fast-paced, regulatory environment.