Netomi
via Lever
Senior Data Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 117d ago
The date the source published, not the day we noticed it (2026-05-21). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 39d ago · last seen 2h ago
The listing
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
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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