Customer Success Associate - Power BI

Reposted 10 Days Ago
Chennai, Tamil Nadu, IND
In-Office
Entry level
Information Technology • Software • Analytics • Business Intelligence
The Role
The Customer Success Associate will engage with customers, ensure smooth onboarding, resolve queries, and maintain customer satisfaction and retention.
Summary Generated by Built In
Role Overview
We are looking for a Customer Success Associate to support and engage with customers, ensure smooth onboarding, resolve queries, and contribute to overall customer satisfaction and retention.

Experience
  • 0–5 years of experience
  • Experience in Power BI will be an added advantage
  • Freshers with strong communication and analytical skills can also apply

Qualification
  • Engineering graduates will be preferred

Work Schedule
  • Shift timings may fall anytime between 6:00 AM and 11:00 PM
  • Candidates should be flexible to work in rotational shifts if required

Work Mode
  • First 3 months: Work From Office (WFO)
  • Post training/probation, office presence may depend on assigned shift requirements

Preferred Skills
  • Strong communication and problem-solving skills
  • Customer handling/support experience is a plus
  • Hands-on experience with Microsoft Power BI (PBI) will be an added advantage

Key Responsibilities
  • Interact with customers and address their concerns effectively
  • Ensure a positive customer experience throughout the lifecycle
  • Coordinate with internal teams for issue resolution
  • Track customer feedback and provide timely updates
  • Maintain documentation and support records accurately





Skills Required

  • 0-5 years of experience
  • Engineering graduates preferred
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The Company
HQ: Plano, TX

What We Do

Lumel Technologies Inc. is a leader in modern, end-to-end Enterprise Performance Management (EPM) products and solutions, enabling planning, reporting, and analytics on a single platform. They empower finance and treasury professionals with cutting-edge finance technology solutions, leveraging expertise in data and analytics.

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