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
