Job Description
Full details about the role and requirements
Yukerja Summary
The Data Analyst - PayLater role at Traveloka is curated from JobStreet (category Teknologi & IT). Note the work location (Banten) before applying. Yukerja.com is not the employer — applications are handled on the official source site.
Job Description
We are seeking a high-caliber Data Analyst who will serve as a key thinking partner 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. If you’re a team player with a passion for data and analytics, we’d love to have you on board!
Our techstack: BigQuery, dbt, Python, Github, Tableau, Looker Studio, Google Cloud Build
Main Responsibilities
- Understand PayLater business, our customers, collection strategies.
- Collaborate closely with PMs and collection team to enable new features and optimize collection strategies through analysis and A/B experiments. Present findings clearly through written narratives, documents, dashboards and during stakeholder discussions.
- Collaborate with Data Science team to maintain and enhance collection model and scorecards.
- Maintain key management metrics and 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
Qualifications
- 2-5 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.