Senior Data Analyst

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The opportunity:
 

This role involves Lead Design for Reliability projects, planning and applying reliability methods (DOE, Weibull analysis, RBD, etc.) with a focus on improvement of high voltage products over their life cycle. Also able to apply sophisticated reliability analysis methods, leading and participating in stress tests of our products.

How you’ll make an impact:

• Design for reliability: Lead Design for Reliability projects, planning and applying reliability methods (DOE, Weibull analysis, RBD, etc.) with a focus on improvement of high voltage products over their life cycle. Also able to apply sophisticated reliability analysis methods, leading and participating in stress tests of our products.
• Data Governance and control: Development of reliability monitoring approaches based on experimental results, numerical simulations, and technical literature. Define the failure data collection and deploy IT governance processes.
• AI Automation: Support the development of automated AI tools by structuring data defining outcomes and validating results against the target.
• Structured data analysis: Build up tools to analyses data in a structured manner from the existing databases, be it SAP or internal databases like Digital Passport System or likewise.
• Reliability analysis and prediction: build and Implement customized methods based on reliability engineering principles to identify potential unreliability issues from manufacturing till end of life period.
• Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your Background:

•  Bachelor’s / Diploma in engineering (Electrical or Mechanical).
• 5+ years of experience in statistical evaluation and reliability field
• Basic know-how of Electrical equipment and systems
• Relevant experience in Statistical tool deployment in the past, data analysis and design improvement suggestions through data analysis
• Understanding of HV electrical products and had
• Data analysis certifications from reputed industry leaders

  prior knowledge of it.

• Demonstrable experience performing and/or leading statistical evaluations be it prior knowledge in 6 sigma or equivalent.
• Data science and programming knowledge, Proficient in Python, Power BI, Open AI tools and/or any other Business Intelligence tool. 
• Earlier experience and knowledge on risk assessment methods like FMEA, HAZOP, Bow- Tie will be plus
• Proficient in IT architecture set up and SAP will be plus.
• Self-motivated, willingness to take up and lead new challenges.
• Excellent English verbal and written communication skills. 

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 Hitachi's 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 roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional 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.