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Senior Data Analyst

4 weeks ago
India
Full-time
Senior
Data Analyst
Data Science and Analytics
LLM Machine Learning Power BI Python SQL Tableau
Apply Now
Netomi

Netomi

Netomi is an AI-first customer service platform revolutionizing customer support with industry-leading resolution rates and multilingual support.

IT Services
51-250
Founded 2015
$52M raised
View All Jobs 38

Description

  • Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow or action design.
  • Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents.
  • Deliver AI solutions end-to-end from solution design through UAT, production launch, and post-go-live optimization.
  • Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction.
  • Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities.
  • Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results.
  • Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk.
  • Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues.
  • Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance.

Requirements

  • 5+ years of experience in applied AI, conversational AI, analytics, or AI-powered customer experience solutions.
  • Hands-on experience with LLMs, prompt engineering, agent workflows, and tool or action-based AI systems.
  • Experience working with real-world customer interaction data such as chat, tickets, email, call transcripts, or voice data.
  • Strong analytical ability to diagnose and resolve AI behavior issues across prompts, knowledge, workflows, evaluation, and user experience.
  • Working knowledge of SQL and Python for data analysis, experimentation, and debugging AI behavior.
  • Ability to use Tableau, Power BI, or similar BI tools to analyze trends, quality signals, and performance metrics.
  • Experience collaborating with cross-functional teams including analytics, quality, product, and ML-Ops.
  • Comfortable working directly with enterprise customers and translating ambiguous requirements into clear, scalable AI solutions.

Interested in this position?

Apply directly on the company website

Apply Now

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