It’s fun to work in a company where people truly BELIEVE in what they’re doing!
Job Description
Traveloka is a Southeast Asian tech unicorn with core businesses in travel and financial services. Currently we are rapidly expanding in the region. At Consumer Lending, we focus on providing our customers with a responsible and convenient form of credit. Offering financial services to underbanked populations provides the opportunity for tremendous innovation, and requires balancing risk that does not exist in other domains.
As a Data Analyst (DA) in the consumer lending group, we need you to be proactive in thinking about the needs of our customers and the business, and work closely with business stakeholders to ensure we grow a sustainable lending business. DAs are critical roles within our business and you know that you can make the greatest impact by gaining in-depth and comprehensive business domain knowledge, and judiciously applying your analytical talents to the domain.
In turn, we’ll provide you with a mature analytics environment to work in. Reproducibility and full version control is a default in our systems so that you can easily learn from your teammates and build on foundations that have already been developed. Our collaborative team will ensure that you’re more productive than you’ve ever been in a few short months.
Our techstack: BigQuery, dbt, Python, Github, Looker Studio, Tableau, Google Cloud Build
Main Responsibilities
- Become a thinking partner to PayLater stakeholders. Understand the PayLater product, customer and market environment. Be able to analyze how changes in any of these will affect various metrics, and come up with new metrics to guide the business.
- Develop dashboards not just for monitoring, but to produce actionable insights that decision makers can use to steer the business.
- Work with the business to answer tactical questions, often via our experiments platform, that will affect the development of product features.
- Work with the business to answer strategic questions that will affect the long-term goals of the business.
- Develop ETL pipelines within a robust framework that is highly automated and does not require a large team to maintain and monitor.
- Understand when speed is more important than accuracy in arriving at an analytical result for the business to make a decision.
- Enable our key stakeholders to improve their understanding and analytical power.
Requirements
- 3+ years of analytics experience in an industry setting with at least a Bachelor degree in quantitative field.
- Curious and hungry to learn, take ownership of your own journey, having bias for action and impact oriented.
- Strong in data manipulation and inferential statistics with Python and SQL
- Strong in communication, presentation, and storytelling to deliver data-inspired findings to both technical and non-technical audiences
- Comfortable working with open-ended questions and potentially ambiguous problem statements
- Prior experience in conducting statistical experimentation or A/B testing is a plus.
- Existing business domain knowledge in consumer lending/BNPL/credit risk is preferred
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!