What you will do
- Design, build, and maintain the ETL from various sources into the data mart; Troubleshoot and resolve data-related issues, including data discrepancies, anomalies, and performance bottlenecks.
- Ensure the quality, accuracy, and reliability of our data by implementing data validation checks and error-handling mechanisms
- Develop and customize Tableau/Google Sheet/Looker studio reports that provide actionable insights to stakeholders
- Collaborate with cross-functional teams to understand data requirements and design data models that support the organization’s single version of truth.
- Create and maintain documentation related to data structures, processes, and transformations for future reference
What you will need
- 1-2 years of experience as BI engineer/DWH Engineer/Data Analyst
- Expert in SQL, Have an understanding of Python is a plus
- Hands-on experience with data visualization Tableau Looker studio/Google Sheet
- Strong analytical and problem-solving skills, with keen attention to detail.
- Excellent communication skills(English is a must) to collaborate with technical and non-technical stakeholders.
- Basic knowledge of statistical concepts and data analysis techniques is a plus
About The Team
- Financial services platform is Gojek’s financial services arm, working to provide responsible & sustainable financial services to Gojek’s three main segments: consumers, merchant-partners, and driver-partners. Our team operates with the fundamental belief that financial inclusion can unlock the doors to a better quality of life, both in the present as well as in the long term. With our “user first” mindset, we aim to transform the financial services sector in Southeast Asia, starting with Indonesia.
- Our Data team, a financial data services sub-pod, is an established family with members stationed across Jakarta, India, and Singapore. We’re in charge of running hundreds of instances and deployments across all of our payment products, directly impacting millions of users every single day. Most recently, our team has built products that reduce the overall time to model, curate, and access data, streamlining our efficiency and internal processes significantly. In the coming year, in light of our new GoTo collaboration, we have exciting plans to scale up our team in effort to field the massive growth of our data pool.
