Ringan is a revolutionary financial services platform on a mission to play an important role in Indonesia's financial inclusion by making borrowing money easier - and in turn, making life easier. Our mission is to live up to our brand philosophy "Jalani Hidup Dengan Ringan" by continuing to find ways to make borrowing easier and improve the quality of life of our borrowers, without weighing them down. As part of Ping An Insurance Group, a world-leading financial services provider, we are looking to transform money into a tool that everyone can access in the way that best suits his or her needs. We do this by providing collateral-free loans for all, enabled by our technology-enabled innovations in credit underwriting and customer experience. Furthermore, our offer is differentiated with competitive user centric interest rates, flexible tenors and a wide range of ticket sizes. Effective 2 August 2021, we have been officially licensed by Financial Services Authority of Indonesia (Otoritas Jasa Keuangan) as a Fintech Lending Peer-to-Peer (P2P) company. We are also an active member of Asosisasi Fintech Pendanaan Bersama Indonesia (AFPI).
Key responsibilities
- Collaborate with our team on analysis of our data to gain relevant and useful insights for our team and customers
- Create and take ownership data dashboards created in
- Collect, assess and process the vast amount of data that is stored in our data warehouse
- Collaborate with our engineers to improve out ETL process to deliver trustable data
Hard skills
- Experince with PowerBI in a business context, setting up emerging BI dashboards (or other popular tools)
- Experience with data testing
- (Preffered) Experience with coding (Python, Kotlin)
- (preferred) Knowledge and experience working with databases
- (preferred) Knowledge and experience on data warehousing and ETL and ETL tooling
Soft skills
- Good problem solving skills
- Enthusiastic about big data challenges
- Ability to see the customer's point of view
- Ability to alternate between focusing on the overview/process and the details
- Proficient in English and successfully worked in an English-spoken
environment
- Proper communication skills
- Eager to learn and understand the maritime logistics domain.