Customer Success Analyst, Intern

Fundamento

South Delhi, Delhi, IndiaFresher1d agovia LinkedIn

Company: Fundamento

Location: Delhi (Panchsheel Park), Onsite

Duration: 3-month full-time internship

Performance-based conversion to a full-time Customer Success Analyst role possible.

About Fundamento

Fundamento is reinventing how enterprises interact with their customers by building voice agents for India's leading lenders. Backed by Google and led by experienced entrepreneurs, Fundamento is at the forefront of the AI revolution.

Role Overview

Customer Success Analyst (CSA) Interns will work at the intersection of data, product, and AI, gaining hands-on exposure to deploying and scaling AI systems in enterprise environments. Interns will actively contribute to solving real business problems alongside Customer Success, Product, and Tech teams.

Key Responsibilities

  • Work with large datasets, cleaning, structuring, and organizing data for analysis.
  • Perform data analysis to derive actionable insights for clients and internal teams.
  • Support in building and refining AI workflows, including prompt writing (based on interest).
  • Conduct quality audits to identify product gaps, inefficiencies, and improvement areas.
  • Collaborate closely with Customer Success, Product, and Engineering teams.
  • Contribute to ongoing process improvements and operational efficiency.
  • Gradually take on ownership of client accounts and relationships as product and domain knowledge is built.

Requirements & Tech Stack

  • Strong analytical thinking and comfort working with data.
  • Empathy, patience, and a customer-first mindset.
  • High ownership and willingness to learn in a fast-paced environment.
  • Good communication skills and ability to structure thoughts clearly.
  • Attention to detail and problem-solving mindset.
  • Comfort with advanced Excel.
  • Interest in building a long-term career in Customer Success, with willingness to move into client-facing work.
  • Prior exposure to data, analytics, or AI tools is a plus (not mandatory).

Why This Role?

  • Work on real enterprise use cases.
  • Gain first-hand exposure to how AI is applied at scale in businesses.
  • Opportunity to work closely with cross-functional teams and influence outcomes.
  • Steep learning curve with high ownership from day one.

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