Business Intelligence (BI) Data Analysis Experienced Professional

Hitachi Automotive Systems Americas, Inc.; Chennai; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED is seeking a skilled BI Data Analysis Professional to design and maintain Power BI reports and dashboards for business and operational use cases. The role focuses on translating questions into KPIs, building scalable semantic models, and optimizing data pipelines and security measures.

The ideal candidate will develop calculations in DAX, work with Fabric-friendly workflows, and collaborate with cross-functional teams to deliver trusted data

Qualifications

• Design, develop and publish Power BI reports and dashboards.
• Translate business questions into KPIs and visualizations.
• Create and optimize DAX and Power Query calculations.
• Develop scalable semantic models with star-schema and dimensional modeling.
• Implement data security, including row-level security where required.

Responsibilities

• Design, develop, test, publish and maintain interactive Power BI reports and dashboards.
• Translate business questions and operational needs into KPIs and visualizations.
• Develop scalable semantic models using dimensional modeling and star-schema practices.
• Create DAX and Power Query calculations and optimize performance.
• Implement report security and validate outputs against sources.

Skills

Power BI

DAX

Power Query

Data modeling

Dimensional modeling

Star schema

Data governance

Tools

Fabric

Job description

## Business Intelligence (BI) Data Analysis Experienced ProfessionalApply: Onsite: Chennai, Tamil Nadu, India: Full time: Posted Today: End Date: October 22, 2026 (9 hours left to apply): R0137526**Location:**Chennai, Tamil Nadu, India**Job ID:**R0137526**Date Posted:**2026-08-17**Company Name:**HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED**Profession (Job Category):**Data Analytics/Business Intelligence**Job Schedule:**Full time**Remote:**No**Job Description:**Design, develop, test, publish and maintain interactive Power BI reports and dashboards for business, operational, process and automation use cases,• Translate business questions and operational needs into meaningful KPIs, analytical views, visualizations and reusable reporting templates,• Develop scalable semantic models using dimensional modeling and star-schema practices with documented calculations, filters, assumptions and business rules,• Create DAX and Power Query calculations, optimize report performance, refresh times, model size, usability and maintainability,• Implement appropriate report and data security, including row-level security where required, and validate outputs against source systems,• Analyze workflow, activity and operational data to identify patterns, bottlenecks, process variations, rework, manual effort and improvement opportunities,• Establish baseline measures and measure changes in cycle time, process quality, manual effort, workflow variation and agreed outcomes,• Support Microsoft Fabric workspace structure, naming conventions, ownership, access controls, capacity visibility, workload monitoring and lifecycle standards,• Support Fabric pipelines, lakehouses, warehouses, semantic models, notebooks, dataflows and Power BI content across development, test and production environments,• Build and maintain data-ingestion, transformation and orchestration pipelines from approved enterprise systems, databases, APIs, files, cloud platforms and business applications,• Perform data profiling, cleansing, normalization, transformation, validation, reconciliation, error handling, exception monitoring and pipeline logging,• Prepare trusted and governed data products for AI, automation, proof-of-concept, MVP, pilot and production initiatives,• Develop dashboards to measure AI and automation adoption, operational outcomes, benefits realization and process improvement impact,• Partner with global and regional stakeholders, process owners, IT, data engineers, solution architects, automation developers, governance teams and business teams,• Create and maintain technical documentation, support guides, data dictionaries, source-to-target mappings, lineage, dependencies, refresh schedules and known limitations,• Follow information security, privacy, retention, confidentiality, responsible AI, role-based access and least-privilege principles,• Support UAT, production releases, troubleshooting, demonstrations, knowledge transfer, user guides, training materials and continuous improvement.