データの求人票のAIスキル、2026年

データの求人票のAIスキルと他の職種の比較

データの求人票が求めるAIスキルとツール

• “You use AI coding tools (Claude Code, GitHub Copilot, or equivalent) as a genuine part of how you work, and you can be specific about where they add real value and where they introduce risk in a governed analytics codebase.”

  PleoStaff Analytics Engineer

• “Proficiency in collaborative and BI tooling (e.g., Google Suite, Confluence/Jira, Looker), with AI as your default way of working — you use GenAI and agentic workflows as a force multiplier, not an occasional assistant.”

  FeedzaiSenior Analyst Engineer - Intelligence Management

• “We expect you to already be building AI-assisted or agentic workflows in your daily analytical work, to be able to show how you validate their outputs and where they fail, and to treat AI as a force multiplier.”

  TRM LabsSenior / Staff Threat Intelligence Analyst, Hacks

• “You build with AI coding agents fluently and have a track record of using them not just to ship features, but to automate the engineering process itself — review, triage, testing, and CI.”

  RoboflowMachine Learning Engineer - Inference Maintainer & Developer Experience

• “Use AI tools in your own day-to-day work — for tasks like data analysis, documentation, testing, or reporting — to increase personal and team efficiency and free up time for higher-value work.”

  PagerDutySenior HRIS Analyst

• “Comfort with AI-Assisted Development : Experience using agentic coding tools such as Claude Code, Codex, or similar to build and maintain analytics pipelines, automate recurring reporting, or accelerate exploratory analysis.”

  UpstartStaff Analyst, Investor Analytics

データの求人票のAIスキルの集計方法

ソフトウェア企業1,333社の公開求人ボードにあるデータの求人票2,756件を、2026年10月29日に読みました。本人の業務でAIを使うよう求めている求人票を数えています。職種は職名から判定しています。完全な方法と限界。