Senior Data Analyst

Netomi; Gurugram District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Netomi is seeking a Senior Data Analyst to prepare, analyze, and interpret large datasets to support ML model development and evaluation. You will ensure data quality, identify patterns, and generate actionable insights for AI-driven CX solutions.

You will own onboarding for enterprise AI implementations, design prompts and agent knowledge configurations, and drive end-to-end AI deployments from design to production.

Qualifications

• 5+ years of experience in applied AI, analytics, or AI-driven CX solutions.
• Hands-on with LLMs, prompt engineering, and agent workflows.
• Experience with real-world customer interaction data (chat, tickets, email, call transcripts).
• Strong analytical ability to diagnose AI behavior issues across prompts, knowledge, workflows, evaluation, and UX.
• Proficient in SQL and Python for data analysis and experimentation.
• Experience with BI tools to analyze trends and performance metrics.
• Ability to translate ambiguous requirements into scalable AI solutions.

Responsibilities

• Own onboarding for enterprise AI implementations including data analysis, topic clustering, coverage planning, and workflow/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.

Skills

Applied AI

LLMs

Data analysis

SQL & Python

BI tools

Cross-functional collaboration

Enterprise data

Tools

Tableau

Power BI

Python

Job description

About The Company

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

About The Company

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About The Role

As a Senior Data Analyst, you will be responsible for preparing, analyzing, and interpreting large datasets to support the development and evaluation of machine learning models. Your work will focus on ensuring high-quality data, identifying meaningful patterns, and generating actionable insights that contribute to AI-driven solutions. This role demands strong analytical skills, attention to detail, and a keen interest in working with machine learning data in a dynamic, fast-paced environment.

Responsibilities

• Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/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

Requirement

• 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/action-based AI systems
• Experience working with real-world customer interaction data (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

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.