Customer Solutions Specialist

• →Validate data through phone, spreadsheets, and web-based research.
• →Document data and processes accurately; communicate findings clearly.
• →Ensure quality and compliance in all services provided.
• →Research, resolve, and respond to inquiries via email and inbound/outbound calls within service level agreements, delivering excellent customer experience.
• →Adhere to corporate policies on authentication, data security, and record retention.
• →Navigate multiple systems and internal tools for research and documentation.
• →Investigate client issues and escalate to Supervisor when necessary.
• →Build customer confidence through effective problem-solving and service delivery.
• →Maintain detailed records of customer interactions, inquiries, complaints, and resolutions for reporting purposes.

• Analytical Thinking: Ability to research, interpret, and validate complex data accurately.
• Attention to Detail: Ensures precision in data entry, documentation, and audits.
• Problem-Solving: Identifies issues and implements effective solutions promptly.
• Customer Service Orientation: Delivers a positive experience through clear communication and responsiveness.
• Adaptability: Thrives in dynamic environments with changing priorities and workloads.
• Technical Proficiency: Skilled in navigating multiple systems and tools efficiently.
• Time Management: Prioritizes tasks effectively to meet deadlines and service level agreements.
• Collaboration: Works well with team members and escalates issues appropriately.

• Bachelor's degree holder or completed at least 2 years level in college (no back subjects/incomplete units)
• 10-key proficiency; Siebel experience preferred.
• Strong computer skills: ability to multitask and research effectively.
• Proficiency in Microsoft Office Suite and Adobe Acrobat.
• Excellent English communication skills (written and verbal).
• High attention to detail; ability to perform repetitive tasks accurately.
• Ability to make judgment calls based on pre-set criteria and experience.
• Adaptable to fluctuating deadlines, intense workloads, and changing priorities.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives
• Flexible to transition between mid-shift and night-shift schedules based on business needs.
• Must meet performance and attendance requirements as outlined.
• Willingness to attend onsite training as required.

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