• Job Description

  Req#: R0115436

  Location:

  Remote - Zurich, Switzerland

  Job ID:

  R0115436

  Date Posted:

  2026-01-28

  Company Name:

  HITACHI ENERGY LTD

  Profession (Job Category):

  Quality Management

  Job Schedule:

  Full time

  Remote:

  Yes

  Job Description:

  The Opportunity:

  As a part of Global Product Group Distribution & Traction Transformers team, you will be responsible for business analysis for core digitalization projects including Digital TrafoSignature, ECS, IBA and Matterport within 25 factories
  in the portfolio scope. You will contribute cross-functionally by collaborating with IT function and business domains,
  as well as being responsible for designing, developing, and maintaining the GPG DT Power BI reports to monitor KPIs and performance metrics

  How you'll make an impact

  • Ensure adherence to data governance standards and maintain comprehensive documentation for all reports and processes within GPG DT Operations Digital area. Collect and design business requirements
    into required documentation format and templates.
  • Identify opportunities to enhance reporting processes, tools, and methodologies for greater efficiency
    and scalability. Implement best practices and leverage emerging technologies to improve data analytics
    capabilities.
  • Provide training and guidance to business teams on the analytics reports, core digital tools, TrafoSignature tool.
  • Collaborate with global teams, HUBs, and factories to gather requirements and deliver tailored reporting
    solutions. Act as a key liaison between technical teams and business stakeholders to ensure alignment
    and transparency.
  • Lead functional and business analysis for core projects: Digital TrafoSignature, ECS, IBA, Matterport from business perspective. Perform user acceptance tests and validation together with key-users and IT.
  • Provide digital updates on GPG DT website content with the usage of CMS.
    

  Your background

  • Degree in Engineering, Data Science, IT or a related technical field.
  • Minimum 5 years of experience in end-to-end data analytics, preferably within manufacturing or industrial environments.
  • Proficiency in Power BI, including advanced DAX functions, Power Query, and report scheduling.
  • Good knowledge of data modeling, visualization, and integration from multiple sources
    (e.g., SAP, SQL, Azure, Power Automate).
  • Excellent communication and collaboration skills to work with global technical teams and stakeholders.
  • Strong understanding of functional and business analysis.
  • Strong problem-solving abilities, attention to detail, and ability to work independently in a global team
    environment.

  We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully .*

  * A pplicable only for Poland location align with local law regulations

  Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

  This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

• About the company

  H-E Parts International offers solutions in support of surface mining equipment fleets, crushing and materials processing and mobile construction equipment fleets.

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