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Data Analyst - Power Transformer

The opportunity

As a Data Analytics Engineer at the Global Engineering Center in Vadodara, India, you’ll be part of a dynamic team that values innovation, diversity, and collaboration. The Transformers Business Unit is leading the way in energy transformation, delivering advanced solutions across a wide range of industries.

This role offers a unique opportunity to work alongside experts from diverse backgrounds, united by a shared commitment to building a sustainable future.

How you’ll make an impact

  • Create a Data Analysis system for various projects and utilize it for business case analysis as well as KPIs.
  • Automate the KPIs /metrics and analyse data to provide insights in improving the business.
  • Create reports to show standardization results in designs, and implementation results for various development projects.
  • Analyze test vs calculated performance data provided by existing data warehouse tools or create new tools/reports to provide insights and also help reduce test failures.
  • Automate the repeat data analysis often done in excel and local queries so we support the business long term and preserve knowledge.  
  • Analyze Margin and Schedule Slippage and provide data regarding trends and projections
  • Identify cost saving ideas from data analysis.
  • Coordinate tasks/activities within a worldwide factories network.
  • Implementation of new software’s related to engineering
  • Supporting existing IT systems (e.g. cPLM, SAP) related to engineering
  • Demonstrated team building skills and networking skills, would be a preference.
  • Ability to speak with and work together with the technical teams in different parts of the world.
  • Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

Your background

  • Graduate in Mechanical, Electrical or Data Science Engineering having 2-7 years of experience
  • Experience with Microsoft SQL Mandatory.
  • Experience with Power BI, Excel &  Power Automate Mandatory.
  • Experience with Power Apps & SAP skill a plus
  • Experience performing Data analysis is mandatory.
  • Experience in cPLM/Windchill will have added advantages.
  • Knowledge of programming languages like Python, Excel-VBA will have added advantage
  • Transformer experience is preferred but not mandatory.
  • Good English written and spoken skills
  • Ability to speak with and work together with the technical teams in different parts of the world.
  • Demonstrated team building skills, would be a preference.
  • Proficiency in both spoken & written English language is required.

Lieu Vadodara, Gujarat, India
Type d'emploi Full time
Work Arrangement On-Site
De l'expérience Entry Level
Fonction du poste Data Analytics | Warehousing & Business Intelligence
Contrat Regular
Date de publication 2026-09-15
Numéro de réference R0135850

À propos de Hitachi Energy

Hitachi Energy est un chef de file mondial de l’électrification, propulsant l’ère de l’électricité pour répondre aux besoins énergétiques d’aujourd’hui et des 25 prochaines années. En tant que branche énergétique du groupe Hitachi, plus de trois milliards de personnes dépendent de nos technologies novatrices et essentielles pour alimenter leur vie quotidienne.

Avec plus d’un siècle d’innovation, nous relevons le défi énergétique le plus urgent de notre époque : stimuler l’évolution du système énergétique mondial afin d’assurer une énergie abondante, sûre, abordable et durable pour la génération d’aujourd’hui et celle à venir.

Disposant d’une base installée inégalée dans plus de 140 pays, nous sommes le partenaire de l’écosystème du réseau dans les secteurs des services publics, de l’industrie, des centres de données et du transport. Avec notre siège social en Suisse, nous employons plus de 56 000 personnes dans 60 pays et générons des revenus d’environ 20 milliards de dollars américains.