Senior Data Analyst

🕒 May 21

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netomi

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 $30M Series B on 2021-11

Consulting • Logistics • Marketing

Netomi is a company that specializes in providing AI-powered customer experience solutions. Their platform, known as Agentic OS, is designed for enterprise-scale customer service and integrates seamlessly with existing business systems. Netomi's solutions leverage generative AI and large language models to automate over 80% of customer inquiries, enhance customer satisfaction, and reduce support costs. Netomi is trusted by global brands across various industries, offering secure, proactive, and predictive customer care through omnichannel support, including email, chat, messaging, SMS, social media, search, and voice. The company ensures compliance with stringent security standards and data protection regulations.

📋 Description

• 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

🎯 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/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

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options