Website Hitachi

Apply for the Data Analyst position at Hitachi Energy in Chennai. Drive global engineering performance tracking, build advanced Power BI dashboards, and automate workflows using Power Apps and Power Automate.

About the Company: Hitachi Energy

Hitachi Energy is a global pioneering technology leader advancing a sustainable energy future for all. Anchored by a rich heritage of breakthrough engineering, the company serves customers across the utility, industry, and infrastructure sectors with innovative solutions and services spanning the entire energy value chain.

This critical analytical position is integrated within the Operation Center, India (INOPC-PG), serving the core Transformers Business Unit (BU). Operating from the centralised engineering hub in Chennai, Tamil Nadu, India, this center is a foundational pillar of Hitachi Energy’s Global Footprint strategy—building an interconnected value chain where resources, technical expertise, and operational data are harmonised across geographic boundaries to optimise grid reliability and manufacturing efficiency worldwide.

About the Role: Data Analyst (Engineering Performance Analytics)

Are you a seasoned analytics professional who excels at translating complex industrial datasets into high-level executive insights? Hitachi Energy is hiring a mid-to-senior-level Data Analyst to spearhead its engineering performance tracking and business intelligence architecture in Chennai. This position is designed for analytical problem solvers bringing 4 to 8 years of experience within engineering or manufacturing environments who possess a highly strategic mindset and master-level command of the Microsoft ecosystem.

As a Data Analyst, you will serve as the core engine of operational intelligence for the Transformers Business Unit. Your daily focus will transcend standard data cleaning; you will take full ownership of the end-to-end Key Performance Indicator (KPI) lifecycle. You will collaborate directly with cross-functional engineering leaders to define productivity metrics, build complex data models using DAX and SQL, and architect automated reporting workflows using Power BI, Power Apps, and Power Automate. By integrating raw information from enterprise ERP and Product Lifecycle Management (PLM) systems into secure Azure cloud architecture, you will deliver the scannable dashboards and predictive trend analyses that shape global corporate decision-making.

Key Responsibilities & Industrial Data Workflows

  • KPI Architecture & Dashboard Engineering: Design, build, and maintain intuitive, interactive corporate dashboards within Microsoft Power BI to track and improve critical engineering performance parameters.

  • Workflow Process Automation: Utilize a practical working knowledge of Power Apps and Power Automate to streamline internal operations, eliminate manual tracking routines, and scale KPI reporting.

  • Cross-Functional Metric Definition: Partner closely with engineering, project management, and operational teams to standardize, govern, and define unified performance metrics aligned with global business targets.

  • Multi-Source Data Integration: Collaborate with data engineering squads to ensure accurate data extraction, schema validation, and pipeline integration from various enterprise legacy platforms (ERP, PLM, and specialized project tools).

  • Advanced Analytics & Trend Discovery: Apply SQL data manipulation, DAX formulas, and statistical modeling tools to run variance analysis, map productivity cycles, and provide actionable operational insights.

  • Executive Technical Reporting: Translate dense multi-channel datasets into clear, scannable, executive-level reports, management review books, and performance scorecards.

  • Data Governance & Quality Assurance: Drive rigorous data standardisation across engineering lines while leveraging test automation frameworks to validate pipeline integrity and dashboard calculations.

Candidate Prerequisites & Technical Skill Stack

Successful candidates must balance a deep understanding of manufacturing/engineering operations with a highly advanced, hands-on programming and visualisation toolkit.

Required Experience & Educational Baseline:

  • Professional Tenure: 4 to 8 years of relevant experience in KPI management, business performance tracking, or core data analytics—ideally with direct exposure to engineering or manufacturing ecosystems.

  • Academic Credentials: B.E. / B.Tech in Engineering, Data Analytics, or a closely related quantitative discipline.

  • Preferred Domain Pluses: A B.Tech completed specifically in Electrical or Mechanical Engineering is an added advantage, as is prior experience as an analyst within a heavy manufacturing enterprise.

Core Technical Stack Proficiencies:

  • BI Visualisation & Modelling: Elite proficiency in Microsoft Power BI, including advanced data modelling, complex DAX syntax, and star-schema optimisation.

  • Database Querying & Scripting: Advanced proficiency in writing SQL queries for deep data extraction, transformation, and structural manipulation.

  • Low-Code Automation Ecosystem: Functional, hands-on working knowledge of Microsoft Power Apps and Power Automate workflows.

  • Cloud Architecture Literacy: Familiarity with cloud platforms, specifically Microsoft Azure, for accessing data lakes, managing data sources, and navigating pipelines.

  • Statistical Analysis: Foundational knowledge of Python or R alongside statistical techniques to execute robust trend and variance forecasting.

Preferred Professional Attributes:

  • Strategic Agility: Strong business acumen paired with the ability to bridge the gap between technical engineering parameters and executive corporate goals.

  • Elite Presentation Power: Excellent communication skills to present high-level KPI insights confidently to international business leaders and operational directors.

Core Position Specifications

  • Position Title: Data Analyst

  • Hiring Organisation: Hitachi Energy

  • Corporate Work Location: Chennai, Tamil Nadu, India (On-Site Operational Center)

  • Experience Allotment: 4 – 8 Years of industrial performance analytics experience

  • Remuneration Structure: Not Disclosed / Competitive Corporate Package & Benefits

  • Employment Framework: Full-Time, Permanent Corporate Position

  • Functional Focus: KPI Lifecycles, Power BI Dashboarding, Low-Code Automation, and Data Governance

  • Industry Placement: Utilities & Power Grid Technology / Heavy Manufacturing

  • Functional Department: Data Science, Business Intelligence & Operations (INOPC-PG)

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