Shyft released new job notifications for the post of Associate (Customer Experience) for Remote (Work from Home) locations. Candidates with 6 months to 2 years of experience in customer service & Excellent communication skills with expert-level fluency in English are eligible to apply. Candidates kindly read all the informations given below, before proceed to apply
Name of the Organization: Shyft
Notification ID:
Positions: Associate (Customer Experience)
Location: Remote (Work from Home)
Salary: As per company Norms
Required Qualifications:
- 6 months to 2 years of experience in customer service.
- Excellent communication skills with expert-level fluency in English
- Prior experience in managing customer support operations via chat in a fast-paced startup environment will be a bonus.
- A highly driven self-starter, with very strong ownership of their work
- Mindset to delight customers
Job Description:
As a Customer Experience Associate, you will be responsible for ensuring a high-quality member experience and creating customer delight. You will be part of a mid-sized team and will work towards identifying, understanding, and resolving customer queries via chat support, email, and calls (if necessary). If you're a hustler with great communication skills with a customer-first mindset, this role is for you.
Responsibilities:
- Be the first point of contact for members - identify, understand and resolve customer queries
- Foster cross-functional relationships with internal stakeholders and devise methods for improvement of overall customer experience.
- Work on process/workflow design to ensure root cause resolution of frequent customer queries.
- Frequently interact with premium Shyft members to ensure a high-quality user experience and create customer delight.
- Record and document all relevant user feedback.
- Work in 5-hour shift either in the morning (7am to 12pm IST) or evening (4pm to 9pm IST) to ensure great customer support (6 days working | weekday off)
- Own customer satisfaction targets and resolve all user queries within specified timelines.
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