Responsibilities:
- ETL: Assist in collecting, cleaning, transforming, validating and analyzing data with the purpose of understanding or making conclusions.
- Perform exploratory data analysis to uncover patterns, trends, and correlations.
- Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner.
- Support cross-functional team collaboration to understand business requirements and develop analytical solutions.
- Support ongoing projects by conducting ad-hoc analyses and providing timely insights.
- Contribute to the improvement of data quality and integrity through data validation and quality assurance processes.
- Research industry trends and best practices in data analysis and reporting.
Requirements:
- Currently pursuing a degree in Statistics, Mathematics, Computer Science, Economics, or any related field.
- Strong analytical skills with a passion for working with data.
- Proficiency in programming languages such as Python and familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Detail-oriented with a proactive approach to problem-solving.
- Excellent communication skills and the ability to collaborate effectively in a team environment.
- Proactive attitude, self-motivated, and eager to learn new skills and technologies.
