Business Analyst (Engineering) Intern (Fall 2026 / 8-12 months)
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Key skills for this role
About the Role
Hitachi Rail is seeking a Business Analyst (Engineering) Intern to promote data-driven decision-making for engineering processes using BI reports and data analysis. The intern will collaborate with engineering teams, perform root cause analysis, and develop Power BI prototypes.
Key Skills for This Role
Responsibilities
- Collaborate with colleagues across all engineering disciplines to define requirements and use cases for BI, including performing preliminary analyses of company datasets.
- Contribute creative ideas and prototypes that leverage data, analytics, and/or AI to address complex or ambiguous problems.
- Support the Engineering Continuous Improvement Lead in defining Problem Statements, performing Root Cause Analysis and ROI for potential solutions.
- Use data and analytics to produce actionable insights.
- Analyze company datasets for usability and propose means to improve data integrity.
- Present findings and recommendations to peers and senior stakeholders.
- When required, develop prototypes of Power BI Reports based on defined requirements.
Requirements
- Working toward a Bachelor’s or Master’s degree from an accredited university or college in an Engineering related or Data related field
- Experienced in preparing and giving presentations
- Experienced in exploring and evaluating data
- Knowledgeable about principles of Business Intelligence and Data Analytics
- Demonstrates curiosity, willingness to learn, and poised to find an effective solution
- Strong organizational skills and ability to balance multiple priorities
- Excellent written and oral communication skills
- Ability to work 40 hours a week in a hybrid environment with at least 2 days per week in the office
- Experienced in data processing scripting and automation using Python, PowerShell and/or SQL (preferred)
- Knowledgeable about systems engineering principles (preferred)
Full Job Posting
About This Opportunity
- The Business Analyst (Engineering)’s main responsibility will be to promote data driven decision making for improvements to Engineering processes and practices by using Business Intelligence (BI) Reports and/or their own analysis of company datasets.
- The role includes exploring the usage of AI and advanced analytics to enhance engineering efficiency and insights.
- This role will report to the Director of Engineering Excellence and will work closely with the Engineering Operations and Engineering Excellence departments.
Key Accountabilities
- Collaborating with colleagues across all engineering disciplines to define requirements and use cases for BI, including performing preliminary analyses of company datasets.
- Contribute creative ideas and prototypes that leverage data, analytics, and/or AI to address complex or ambiguous problems.
- Supporting the Engineering Continuous Improvement Lead in defining “Problem Statements”, performing Root Cause Analysis and the return on investment (ROI) for potential solutions.
- Use the data and analytics at their disposal to produce actionable insights.
- Analyzing company datasets for usability and propose means to improve data integrity.
- Present their findings and recommendations to peers and senior stakeholders.
- When required, develop prototypes of Power BI Reports based on defined requirements.
Key Requirements
- The successful candidate should be working toward a Bachelor’s or Master’s degree from an accredited university or college in an Engineering related or Data related field.
- Experienced in preparing and giving presentations.
- Experienced in exploring and evaluating data.
- Knowledgeable about principles of Business Intelligence and Data Analytics.
- Demonstrates curiosity, willingness to learn, and poised to find an effective solution.
- Strong in organizational skills and their ability to balance multiple priorities.
- Excellent written and oral communication skills.
- Ability to work 40 hours a week in a hybrid environment for the duration of the internship, with at least 2 days per week in the office.
Preferred Qualifications
- Experienced in data processing scripting and automation using Python, PowerShell and/or SQL.
- Knowledgeable about systems engineering principles.
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