Data Analytics Intern
Found in: beBee S SG - 1 month ago
We are looking for a motivated and detail-oriented Data Analytics Intern to join our team. This internship provides an excellent opportunity to gain hands-on experience in data analysis, visualization, and interpretation. The ideal candidate is passionate about data, eager to learn, and possesses strong analytical skills. This position offers exposure to real-world data analytics projects and the chance to contribute to meaningful insights that drive business decisions.
Responsibility:
- Conduct research and data analysis to identify trends, patterns, and insights.
- Assist in collecting, cleaning, and analyzing data from various sources to identify trends and patterns.
- Collaborate with team members to understand business requirements and provide analytical support for decision-making.
- Conduct exploratory data analysis to uncover insights and opportunities for process improvement.
- Create clear and concise documentation, including business requirement documents, process flows, and user stories.
Qualifications:
- Currently enrolled in a bachelor’s or master’s degree program in Data Science, Statistics, Computer Science, or a related field.
- Strong analytical skills with the ability to interpret data and draw meaningful conclusions.
- Proficiency in Microsoft Office suite, particularly Excel and PowerPoint.
- Detail-oriented with strong organizational skills.
You are the heart & soul of Zurich
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.
Let’s continue to grow together
- Location(s): [[Singapore]]
- Remote working: [[No]]
- Schedule: Full Time or Part Time
- Recruiter name: [[Ahona Adhikary]]
- Closing date:
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