INTERNSHIP DETAILS
Intern, Business Intelligence
CompanyCoherent Corp.
LocationSingapore
Work ModeOn Site
PostedOctober 1, 2026

Internship Information
Core Responsibilities
The intern will support the Business Intelligence team by developing and maintaining Power BI dashboards and operational reports. They will also assist in data extraction, validation, and the automation of reporting processes to improve efficiency.
Internship Type
full time
Company Size
1412
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We are Coherent Corp. now! Follow us here: https://www.linkedin.com/company/coherent-corp
About the Role
Primary Duties & Responsibilities
- Support the Business Intelligence team in developing, enhancing, and maintaining Power BI dashboards and operational reports.
- Assist in data extraction, cleansing, transformation, and validation from business systems, MES platforms, Excel files, SQL databases, and other data sources.
- Work with stakeholders to understand reporting requirements and translate them into clear dashboard layouts, data models, and report specifications.
- Perform data quality checks to ensure reports are accurate, consistent, and aligned with business definitions and KPI requirements.
- Prepare documentation for report logic, data sources, refresh processes, user guides, and standard operating procedures.
- Assist in automating manual reporting activities and identifying opportunities to improve reporting efficiency.
- Collaborate with team members to monitor dashboard usage, collect feedback, and recommend continuous improvements.
Education
- Currently pursuing or recently completed a Diploma or Degree in Business Analytics, Data Analytics, Information Technology, Computer Science, Engineering, Statistics, or a related discipline.
Skills Required
- Basic knowledge of Power BI, Excel, SQL, or other data visualization and reporting tools.
- Ability to perform data preparation, data validation, and basic analysis using Excel, SQL, Python, or similar tools.
- Good analytical thinking and problem-solving skills, with attention to detail and data accuracy.
- Ability to understand business processes and translate user requirements into meaningful reports or dashboards.
- Good written and verbal communication skills in English.
- Willingness to learn manufacturing systems, MES reporting concepts, data governance practices, and business intelligence development standards.
Other Requirements
- Able to work independently while also collaborating effectively with engineers, analysts, and business users.
- Organized, proactive, and comfortable handling multiple reporting or data-related tasks.
- Interest in digital transformation, manufacturing analytics, and continuous improvement is preferred.
- Intern will be mentored by the Business Intelligence team and will support ongoing reporting, analytics, and process improvement activities.
Working Conditions: Monday to Friday, 9.00 am to 6.30 pm; (100% on-site)
Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.
Key Skills
Power BIExcelSQLData extractionData cleansingData transformationData validationDashboard developmentAnalytical thinkingProblem-solvingPythonManufacturing systemsMES reportingData governanceBusiness intelligence
Categories
Data & AnalyticsTechnologyManufacturingEngineering
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