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Work Location: Singapore Office @ Marina Bay Financial Centre / Singapore Lab @ Kallang
Working Hours: Monday to Friday, 8.30 AM to 5.30 AM (1 day work from home)
We are seeking a motivated and analytical university student to join our Singapore Lab team as a Data Analytics Intern. This internship offers a unique opportunity to work on a real business project involving the analysis of technical service, laboratory, and customer case data to uncover trends and generate insights that support product development and strategic decision-making.
The intern will support several projects involving the review and consolidation of large volumes of historical technical cases, test data analysis tools, and feedback improvements from user perspective. The project scope originates from DuPont initiative to bring latest data analytics into water industry.
Project Objectives
During the internship, you will:
Collect and organize data from multiple technical databases and trackers.
Clean, validate, and standardize large datasets.
Build structured datasets for analysis and reporting.
Identify trends and patterns from historical technical service records.
Suggest dashboards and visualizations to communicate findings.
Support the adoption of AI and digital tools for data processing and reporting.
Key Responsibilities
Data Collection & Preparation
Review and consolidate information from technical service records, laboratory reports, and historical databases.
Extract relevant information and create structured datasets.
Ensure data accuracy and consistency.
Data Analysis
Perform exploratory analysis to identify trends and recurring issues.
Support reliability and technical investigations through data analysis.
Summarize findings and provide recommendations based on data.
Dashboard & Reporting
Create visualizations and reports using Excel and Power BI.
Develop dashboards that enable efficient monitoring of key metrics.
Present project findings to technical and business stakeholders.
Digital & AI Tools
Explore the use of approved AI tools to improve data cleaning and analysis efficiency.
Support automation of repetitive reporting tasks.
Project Collaboration
Work closely with engineers, scientists, and technical service teams.
Participate in project discussions and knowledge-sharing sessions.
Assist in documenting project outcomes and lessons learned.
Who We're Looking For
Singapore Citizen or Permanent Resident preferred
Currently pursuing a Bachelor's degree in one of the following fields: Computer Science / Business or Data Analytics / Data Science / Engineering (Chemical, Materials, Mechanical, Industrial, etc.) with classwork in data analysis and statistics / Statistics / Information Systems
Strong analytical and problem-solving skills
Good knowledge of Microsoft Excel
Attention to detail
Ability to work independently and manage large datasets
Good written and verbal communication skills
Preferred - Experience with data visualization and familiarity with AI-tools
What You Will Gain
Hands-on experience working on a real business analytics project.
Exposure to technical service, product reliability, and laboratory operations.
Opportunity to learn data analytics tools such as Power BI and AI-assisted analytics.
Mentorship from experienced technical and business professionals.
Presentation experience with regional stakeholders.
Valuable industry experience in data-driven decision making.
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DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.
DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.
Skills Required
- Currently pursuing a Bachelor's degree in Computer Science, Data Analytics, Data Science, Engineering (with data analysis coursework), Statistics, or Information Systems
- Strong analytical and problem-solving skills
- Good knowledge of Microsoft Excel
- Ability to work independently and manage large datasets
- Attention to detail
- Good written and verbal communication skills
- Experience with data visualization (e.g., Power BI)
- Familiarity with AI tools or AI-assisted analytics
- Singapore Citizen or Permanent Resident
DuPont Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DuPont and has not been reviewed or approved by DuPont.
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Retirement Support — Employer 401(k) funding is positioned as a strong differentiator, combining a dollar-for-dollar match with an additional company contribution that meaningfully boosts total compensation. This design adds notable long-term value even when base pay is viewed as average in some areas.
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Parental & Family Support — Paid parental leave for birth and non-birth parents, together with family-building support and backup care resources, provides robust support for diverse family needs. Programs extend to fertility, adoption, surrogacy, and caregiving.
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Leave & Time Off Breadth — Time-off programs include substantial vacation ranges, a broad holiday schedule, and the option to purchase additional time, offering flexibility across tenure levels. Structured sick time and disability income protection further strengthen time-away coverage.
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Beware of recruitment scams! Please read important information for job seekers: https://www.dupont.com/careers/hiring-faqs.html It's a time of incredible progress at DuPont — a time of momentum. It's the time for change makers, for the doers and pioneers, to create essential innovations the world needs. We aren’t just creating a better future, we’re working together to invent a better now. So bring your best self and join us in uncovering insights that will transform the world. Why wait for a better future? Invent a better now. Learn more at dupont.com. Please take the time to review our comments policy before commenting on our page. http://dptn.ws/policy
