What we're looking for
Are you a passionate builder with mission to democratize home ownership for Indonesia
About Us
Ringkas is helping to democratize home ownership for Indonesia that facilitates access to financing to help home seekers become home owners. Ringkas is built by passionate founders from Google, Amazon, Dell with backgrounds in tech whom have scaled product and digital businesses worldwide. We are backed by VCs, and several prominent angel investors who have built FinTech platforms for millions of people in Indonesia and the US.
Our vision is to Democratize home ownership and make it accessible for everyone. Our mission is making homeownership simpler, faster and accessible for all. We believe homeownership should be fast, transparent, and low-cost for all. Home and Mortgage finance has operated through traditional opaque systems for years. We are redefining the homeownership process from the ground up and end to end. We’re using technology to make it faster and more efficient, through trusted partners and people to help make a seamless customer experience.
Responsibilities
- Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the descriptive, diagnosis and prediction analysis.
- Working with programmers and other department to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- High attention to detail, identifying erroneous data and fixing query errors and related problems.
- Build data marts from various data sources for multiple divisions.
- Preparing report and dashboard for the stakeholders, enabling them to take important decisions based on various facts and trends.
Minimum Qualifications
- Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science)
- At least have 2 years of any relevant experience in Data Analyst / BI / Data Scientist.
- Experienced in data processing and inferential statistics with Python.
- Good technical skills in statistical analysis, regression, time series analysis
- Advanced SQL skill, performing valid and complex but effiecient queries
- Experienced in cloud service platform (i.e. GCP, AWS, etc).
- Experienced in data visualization tools such as Google Data Studio, Metabase, etc