Why This Job is Featured on The SaaS Jobs
This Senior Data Analyst role stands out in today’s SaaS landscape because it sits at the intersection of productized AI and enterprise customer experience. The work appears closely tied to how an agentic AI platform performs in production, using real customer interaction data as the raw material for improving automated outcomes. In a market where SaaS differentiation increasingly comes from applied AI, roles that connect data, model behavior, and customer workflows tend to be central to product value.
From a SaaS career perspective, the position offers durable exposure to the operating loop that matters most: instrumenting performance, diagnosing issues, and iterating after go live. That cycle is broadly transferable across modern SaaS organizations, especially those shipping AI features, because it builds fluency in measurement, experimentation, and cross functional delivery rather than one off analysis. The emphasis on evaluation signals and post launch optimization also maps well to how subscription businesses manage retention and expansion through product outcomes.
This role is best suited to an analyst who prefers hands on ownership and is comfortable moving between ambiguous problem statements and structured solutions. It will fit someone who enjoys partnering with product, ML Ops, and customer facing teams, and who wants their analytics work to directly influence what end users experience.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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.
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.
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Responsibilities
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Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/action design
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Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents
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Deliver AI solutions end-to-end, from solution design through UAT, production launch, and post-go-live optimization
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Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction
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Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities
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Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results
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Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk
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Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues
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Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance
Requirement
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5+ years of experience in applied AI, conversational AI, analytics, or AI-powered customer experience solutions
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Hands-on experience with LLMs, prompt engineering, agent workflows, and tool/action-based AI systems
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Experience working with real-world customer interaction data (chat, tickets, email, call transcripts, or voice data)
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Strong analytical ability to diagnose and resolve AI behavior issues across prompts, knowledge, workflows, evaluation, and user experience
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Working knowledge of SQL and Python for data analysis, experimentation, and debugging AI behavior
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Ability to use Tableau, Power BI, or similar BI tools to analyze trends, quality signals, and performance metrics
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Experience collaborating with cross-functional teams including analytics, quality, product, and ML-Ops
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Comfortable working directly with enterprise customers and translating ambiguous requirements into clear, scalable AI solutions
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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.
