Data Analytics Intern
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Apply NowAbout the role#
The Data Analytics Intern will join the Global Product Management team within the Capsules & Health Ingredients (CHI) division. This role supports strategic business initiatives by collecting, organizing, and analyzing market and product-related data to generate actionable insights. The intern will work with cross-functional teams, including Product Management, Market Intelligence, Sales, and Strategy, to maintain key databases that support business growth and informed decision-making.
What you'll do#
- Collect, organize, and maintain data for global pharmaceutical market initiatives and the Hard Empty Capsules business.
- Develop and manage databases for the Health Ingredients portfolio, including product-related information and competitive intelligence.
- Analyze complex datasets to transform information into meaningful business insights.
- Partner with internal teams such as Finance, R&D, Quality, Supply Chain, and Regulatory to gather and validate data.
- Support the maintenance of product, market, competitor, and packaging databases to improve business visibility.
- Prepare reports, dashboards, presentations, and analytical summaries using Excel, PowerPoint, and other analytical tools.
- Ensure data accuracy, consistency, and integrity across multiple information sources and business systems.
What you'll need#
- Currently pursuing or recently completed a Bachelor’s degree in Business Administration, Finance, Economics, Engineering, Marketing, Data Analytics, or a related field.
- Strong analytical and problem-solving skills with exceptional attention to detail.
- Ability to work with large datasets and convert information into business insights.
- Advanced proficiency in Microsoft Excel and PowerPoint.
- Exposure to Power BI, SQL, Python, or R is considered an advantage.
- Strong verbal and written English communication skills with business-level fluency.
- Ability to collaborate effectively across multiple functions and stakeholders in a global environment.
Location & details#
- Modality: Remote
- Term: Rolling
- Status: Full-time
- Compensation: Paid position
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