Key Requirements
- An undergraduate currently pursuing a degree in Information Technology, Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field.
- Good written and verbal communication skills.
- A dedicated team player with a positive attitude and willingness to learn.
- Strong analytical and problem-solving skills.
- Basic knowledge of Microsoft Excel, data analysis concepts, and data visualization techniques will be an advantage.
- Exposure to SQL, Power BI, Tableau, Python, R, ACL, or similar analytical tools will be an added advantage.
Key Responsibilities
- Assist in ensuring the integrity of data, including data extraction, storage, manipulation, processing, and analysis.
- Import, clean, transform, and validate data from various sources.
- Assist in analyzing data, identifying trends and patterns, and preparing summaries of analytical findings.
- Support the preparation of reports, presentations, and visual dashboards.
- Assist in developing and maintaining scripts using ACL and other analytical tools.
- Perform data quality checks and support data validation activities.
- Collaborate with team members on data-related projects and analytical assignments.
- Assist the team with ad hoc analytical tasks and administrative activities related to data projects.
- Participate in training and knowledge-sharing initiatives to develop technical and analytical skills.