Posted: Jan 12, 2026
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