HR Data Scientist

2 Months ago • All levels • Data Analysis

Job Summary

Job Description

The role involves collecting, analyzing, and visualizing various HR and organization data (e.g., transfer history, evaluation, skills, engagement). It includes providing HR insights and creating reports for management and business units, designing and operating HR technology (BI tools, analysis tools, etc.), planning and proposing talent management and human resource development measures through data utilization, and promoting the establishment of data utilization. This job offers the opportunity to be involved from the ground up in the introduction of HR technology and the process of achieving its objectives.
Must have:
  • Strong interest and motivation in utilizing data in the HR field.
  • Practical experience with SQL and BI tools (Tableau, Power BI, etc.).
  • Experience in not only data analysis, but also implementing measures.
  • Experience in smoothly communicating with internal stakeholders and leading projects.
Good to have:
  • Experience in talent matching and skill data analysis.
  • Experience in introducing and operating ATS, HRIS, and talent management systems.
  • Experience in building data infrastructure in a cloud environment (AWS, GCP, Azure).
  • Experience in promoting data utilization in collaboration with management and HR departments.

Job Details

業務内容

  • 人事・組織に関する各種データ(異動履歴、評価、スキル、エンゲージメント等)の収集・分析・可視化
  • 経営・事業部門への人事インサイトの提供、レポート作成
  • HRテクノロジー(BIツール、分析ツール等)の導入・運用設計
  • データ活用によるタレントマネジメントや人材育成施策の企画・提案
  • データ利活用の定着推進

この仕事の面白み

HRテクノロジーの導入と目的実現に向けたプロセスの推進にゼロから携わっていただきます。
当社にとっても新しい取組みであるため、チャレンジングなミッションである一方、自由度が高く、自分のアイデアを実現しやすい環境です。

これまでの人の感覚や経験則に頼りがちな人事領域に、AIなどのテクノロジーを活用した新しい指標やモデルを吹き込むことによって、
データに基づいた意思決定を促進させ、会社の成長にダイレクトに繋がる大きな貢献ができるため、やりがいがあります。

必要なスキルと経験など

  • HR領域でのデータ活用に強い関心・意欲
  • SQLやBIツール(Tableau、Power BI 等)の実務経験
  • データ分析だけでなく、施策への落とし込みまで推進した経験
  • 社内関係者と円滑にコミュニケーションを取り、プロジェクトを牽引した経験

あると望ましいスキルと経験など

  • 人材マッチング・スキルデータ分析の経験
  • ATS、HRIS、タレントマネジメントシステムなどの導入・運用経験
  • クラウド環境(AWS、GCP、Azure)でのデータ基盤構築経験
  • 経営・人事部門と連携したデータ活用の推進経験

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