Senior Data Analyst, Fintech Lending Insights

Traveloka; Indonesia; On-site; IDR 180,000,000 - 480,000,000; Full time

Job summary

Traveloka is seeking a Data Analyst to be a key partner in shaping sustainable lending decisions. You will deliver actionable insights from data, support critical business choices, and collaborate across product, analytics, and data science teams.

Expect to own dashboards, ETL processes, and experimentation to optimize PayLater strategies. Ideal candidates have 5+ years of analytics, strong SQL and visualization skills, and a proven ability to translate complex data into clear recommendations

Qualifications

• Bachelor's degree in a quantitative field or equivalent.
• 5+ years of analytics experience with measurable impact.
• Proficient in SQL and data visualization tools.
• Experience with A/B testing and experimental design.
• Excellent communication to convey insights to non-technical stakeholders.
• Ability to translate business problems into analytical solutions.
• Fintech or consumer lending experience is a plus.

Responsibilities

• Understand PayLater business, customers, and collection strategies.
• Collaborate with PMs and collections to enable features and optimize strategies via analysis and A/B tests.
• Partner with Data Science to maintain and improve collection models and scorecards.
• Develop dashboards and metrics to produce actionable insights for decision makers.
• Build ETL pipelines within an automated framework requiring minimal maintenance.

Skills

SQL

Data Visualization

Python or R

A/B Testing

Communication

Analytics Strategy

Education

Bachelor's degree in quantitative field

Tools

BigQuery

dbt

Github

Tableau

Looker Studio

Power BI

Python

Job description

Traveloka is seeking a Data Analyst to be a key partner in shaping sustainable lending decisions. You will deliver actionable insights from data, support critical business choices, and collaborate across product, analytics, and data science teams.

Expect to own dashboards, ETL processes, and experimentation to optimize PayLater strategies. Ideal candidates have 5+ years of analytics, strong SQL and visualization skills, and a proven ability to translate complex data into clear recommendations