Netomi logo
Netomi

Empowering the highest quality customer experiences.

Senior Data Analyst

Location

India

Posted

60 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishPythonSQLTableau

Job Description

Senior Data Analyst

Netomi

• 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

Job 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

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