Netomi

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

IT Services

Information Technology

51-250 (131)

Founded 2015

$52M raised

24 open positions

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Senior Data Analyst

3 months, 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 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 24

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

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