IT Business Intelligence Analyst - BST GI

Hitachi Energy; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Hitachi Energy, a leader in grid integration, seeks a Business Intelligence Analyst in Chennai, Tamil Nadu. You will design and deliver customer-driven BI applications for our Grid Integration unit, ensuring scalable, governance-compliant front-end solutions that enable data-driven decision making across business units.

You will drive data integration, implement reusable data flow architectures, and lead training sessions while maintaining alignment with global BI guidelines and PPS processes.

Qualifications

• Strong experience in BI design and report development, including data collection methods and interface management with data warehouse environments.
• Ability to create and maintain reusable data flow architectures aligned with Master Data management principles.
• Experience in maintaining BI solutions, managing roadmaps, and using ticket systems for service requests.

Responsibilities

• Develop and maintain a roadmap for customer-driven BI applications for GI projects.
• Ensure BI implementations follow established structure and guidelines; drive Master Data alignment and data validity.
• Identify and capture BI demands across the organization and translate into reusable data flow architectures.
• Lead BI training sessions and manage application lifecycle through support and ticket systems.
• Follow PPS process guidelines to support regulatory and organizational objectives.

Skills

BI design

Report development

Stakeholder communication

Data quality assurance

Master Data management

Data warehousing

Job description

As a Business Intelligence Analyst within Hitachi Energy’s Business Solution Team, you will play a pivotal role in bridging the gap between complex data and strategic action for our Grid Integration business. You will be responsible for designing and delivering customer-driven BI applications that empower our Business unit-wide teams to make informed decisions. By ensuring that our front-end solutions are scalable, user-friendly, and governed by global standards, you will contribute directly to our digital transformation journey and the ambitious goal of improving business efficiency through data transparency.

How You’ll Make An Impact

• Develop and maintain a roadmap for new, customer-driven BI applications, ensuring that design and report interfaces meet the specific needs of our GI projects
• Ensure that all BI implementations follow the established structure and guidelines. You will drive Master Data alignment and ensure data validity through rigorous quality assurance and interface management with our data warehouse storage
• Actively identify and capture new Business Intelligence demands across the organization, translating business requirements into reusable data flow architectures
• Run BI training sessions to empower the organization, managing the application lifecycle through dedicated support, service request resolution, and the proactive use of our ticketing systems
• Ensure all initiatives follow PPS (Project Power System) process guidelines, contributing to a transparent and auditable environment that supports both internal goals and regulatory requirements

Your background

• Strong experience in BI design and report development, including a deep understanding of data collection methods and interface management with data warehouse environments
• Proven ability to create and maintain reusable data flow architectures and ensure alignment with Master Data management principles
• Experience in maintaining existing BI solutions, managing application roadmaps, and utilizing ticket systems to solve service requests and issues
• Exceptional skills in identifying business demands and communicating technical structures to non-technical stakeholders, including conducting training sessions for diverse user groups
• A firm commitment to following process guidelines (such as PPS) and ensuring that local implementations adhere to global organizational structures and BI guidelines
• Strong focus on data quality assurance and the ability to ensure data validity across complex, large-scale IT initiatives