Business Intelligence (BI) Data Analysis Experienced Professional

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. Accessibility and reasonable accommodation