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Client Support Specialist - Remote

Posted 7 weeks ago
Customer Service
Full Time
India

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Overview

This role is for Weekdays clients, focusing on providing exceptional support and assistance to our clients.

In Short

  • Provide support to clients during weekdays.
  • Handle client inquiries and issues effectively.
  • Communicate clearly and professionally with clients.
  • Utilize problem-solving skills to resolve client issues.
  • Maintain a positive relationship with clients.
  • Document client interactions and feedback.
  • Collaborate with team members to improve service.
  • Participate in training and development sessions.
  • Meet performance metrics and goals.
  • Contribute to a positive team environment.

Requirements

  • Strong communication skills.
  • Experience in customer service or support roles.
  • Ability to work independently and as part of a team.
  • Proficient in using customer support software.
  • Strong problem-solving abilities.
  • Attention to detail and organizational skills.
  • Ability to handle multiple tasks simultaneously.
  • Willingness to learn and adapt.
  • Availability to work weekdays.
  • Positive attitude and professional demeanor.

Benefits

  • Competitive salary.
  • Flexible working hours.
  • Opportunities for professional development.
  • Supportive team environment.
  • Health and wellness benefits.
  • Work from home options.
  • Paid time off.
  • Employee recognition programs.
  • Access to training resources.
  • Career advancement opportunities.
Weekday logo

Weekday

Weekday is a dynamic consultancy that partners with startups and small organizations worldwide to leverage the power of data. The company specializes in providing data science and machine learning solutions, helping clients tackle real-world challenges and drive business growth through data-driven strategies. With a focus on diverse industries such as fintech, healthcare, e-commerce, and artificial intelligence, Weekday offers flexible, full-time opportunities for consultants to engage in impactful projects, develop predictive models, and communicate insights effectively to stakeholders.

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