Business Intelligence (BI) Data Analysis Experienced Professional

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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

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Use of Al and automated tools in recruitment

As part of our recruitment process Hitachi Energy uses digital and automated tools including Al-supported solutions to assist with activities such as application screening job matching and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachis Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process Hitachi Energy conducts pre-employment background checks that may include verification of employment history education criminal records and other relevant information in accordance with applicable laws.

For certain rolesparticularly those involving access to sensitive information financial responsibilities client data regulated environments or security-sensitive functionsadditional or more comprehensive background or security screenings may be required. These may include but are not limited to enhanced criminal history checks credit history reviews (where legally permissible) sanctions screening or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity and will always be conducted in compliance with applicable federal state and local laws. Candidates will be notified and where required asked to provide consent prior to the initiation of any such checks.