Data Analyst

As a Data Analyst, you will be part of Operation Center, India (INOPC-PG), aiming to develop a global value chain, where key business activities, resources, and expertise are shared across geographic boundaries to optimize value for Hitachi Energy customers across markets. As part of Transformers BU, we provide high-quality engineering and Technology to Hitachi Energy world. This is an important step from Hitachi Energy's Global Footprint strategy.

• Display strong analytical and business acumen with a focus on measuring and improving engineering performance through KPIs.
• Develop, monitor, and maintain Key Performance Indicator (KPI) dashboards using Power BI and advanced reporting tools.
• Working Knowledge of Power Apps and Power Atomate.
• Collaborate with engineering, project management, and operations teams to define meaningful performance metrics aligned with business goals.
• Analyze trends and performance data to provide actionable insights supporting continuous improvement and strategic decision-making.
• Translate complex performance data into clear, executive-level reports and visualizations.
• Work with data engineers to ensure accurate data extraction, validation, and integration from various business systems (ERP, PLM, project tools, etc.).
• Drive data governance and standardization of KPI definitions across engineering functions.
• Identify opportunities for process optimization and automation of KPI reporting.
• Support management reviews by preparing comprehensive Business reports and performance scorecards.
• Living Hitachi Energy’s core values of safety and integrity, taking responsibility for actions while caring for colleagues and the business.

• BE / B.Tech in Engineering, Data Analytics, or related discipline with 4-8 years of relevant experience in business KPI management or performance analytics.
• 4-8 years of experience in KPI reporting, business performance tracking, or data analytics with exposure to engineering or manufacturing environments.
• Strong hands-on experience with Microsoft Power BI for KPI visualization and performance dashboards
• Familiarity with cloud platforms, especially Microsoft Azure, for data integration, storage, and analytics use cases.
• Experience with test automation frameworks and tools for validating data pipelines, dashboards, or KPI reporting systems.
• Advanced proficiency in SQL for data extraction and transformation; experience with DAX and data modeling.
• Good understanding of business performance metrics (engineering productivity, project efficiency, cost optimization, etc.).
• Knowledge of Python/R, forecasting methods, or statistical techniques for trend and variance analysis.
• Familiarity with cloud platforms such as Azure for accessing and managing data sources.
• Ability to collaborate with cross-functional stakeholders to define and refine KPI frameworks aligned with business goals.
• Excellent presentation and communication skills to convey KPI insights to engineering leaders and management.
• Proven capability to manage end-to-end KPI lifecycles from data preparation and standardization to reporting and continuous improvement.

• Expert in KPI Design and Measurement: Skilled in defining, developing, and tracking key performance indicators to assess operational efficiency and business impact.
• Strategic Data Interpretation: Ability to translate complex datasets into clear business insights that support corporate goals and performance improvement initiatives.
• Dashboard Development and Visualization: Proficient in creating intuitive, interactive dashboards that highlight trends, variances, and actionable metrics for leadership review.
• Cross-Functional Performance Analysis: Experienced in collaborating with engineering, finance, and operations teams to align KPIs with organizational objectives.
• Automation & Scalability: Skilled in automating KPI reporting processes to ensure consistent, timely, and accurate performance tracking.
• Analytical Agility & Business Acumen: Combines strong analytical skills with strategic thinking to drive informed decisions and enhance business outcomes.
• Experience as a Data Analyst in a manufacturing environment is plus.
• B.Tech in Electrical or Mechanical Engineering is plus.