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Data Analyst - PayLater

Traveloka
Traveloka (Jakarta Metropolitan Area)
DKI Jakarta, Indonesia 🇮🇩
Traveloka
e don’t innovate for the sake of innovation, we utilize technology to simplify people’s lives so they can enjoy their lives better. That belief is what brought Traveloka to be the leading travel platform in Southeast Asia. Traveloka serves 20+ products that include comprehensive travel services. From transportations to accommodations, discovering nearby attractions, and insurance products to financial services, including the groundbreaking ‘Buy Now Pay Later’. With 100+ millions downloads in six countries across the SEA region, we aim to keep exploring for better innovations — all to fulfill our users’ travel aspirations so they can enjoy their lives, their way.

About this position

As a Data Analyst (DA) in the Financing (PayLater) group at Traveloka, you will work in a diverse team of Data Analysts, Scientists and Engineers as critical partners to the business. Our focus is on growing a sustainable lending business by providing our customers with a responsible and convenient form of credit. In this role, you will play a key part in delivering actionable insights to help drive critical business decisions.

Responsibilities

• Understand PayLater business, our customers, collection strategies and scorecards.
• Collaborate closely with collection team to optimize collection strategies through analysis and experiments.
• Maintain and enhance collection scorecards.
• Develop dashboards not just for monitoring, but to produce actionable insights that decision makers can use to steer the business.
• Develop ETL pipelines within a robust framework that is highly automated and does not require a large team to maintain and monitor.
• Enable our key stakeholders to improve their understanding and analytical power.

Requirements

• 1-3 years of experience in analytics with at least a Bachelor's degree in a quantitative field.
• Proficiency in SQL and data visualization tools (e.g. Tableau, Looker, Power BI).
• Strong skills in Python or R for data analysis and modeling.
• Experience with A/B testing and experiment design.
• Excellent communication skills to convey complex analyses to non-technical stakeholders.
• Ability to translate business problems into analytical solutions and actionable recommendations.
• Experience in fintech industries/consumer lending business is preferred.