Responsibilities
- Design, implement, and maintain data pipelines with high accuracy, scalability, and reliability
- Collaborate with cross-functional stakeholders to gather requirements for data analytics and reporting
- Improve data management by implementing checks and controls to prevent recurring issues and enhance process efficiency
- Reduce the load on existing teams by owning data-related tasks and resolving issues independently
- Contribute to internal and external projects that drive efficiency and automation in data pipelines and usage
- Leverage AI to identify pipeline optimization opportunities and provide improvement suggestions
- Assist in other ad-hoc reports
Requirements
- Graduate degree in computer science, mathematics, finance, statistics, economics, or other quantitative fields
- At least 2 years of experience in data analytics and BI reporting
- Solid experience in ETL process and BI tools (e.g. Tableau, Power BI etc…)
- Excellent in writing complex SQL and complicated business data logic
- Solid understanding of Database, Big Data, and Data modeling concepts
- Ability to develop end-to-end automated solutions
- Ability to work in a fast-paced and agile environment
- Strong problem-solving skills and ability to work independently and as part of a team