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

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