Senior Data Analyst, Financial Services

  • Jakarta, Indonesia
  • Full-time

Company Description

Traveloka is a Southeast Asian internet unicorn focused on travel and mobility. Currently valued at over $4B USD after 7 years, we're rapidly expanding in the region and globally. Today Traveloka is expanding its reach by operating in seven countries and experimenting with new endeavors that will create a large impact in the markets and industries we touch.

Job Description

In this role, You will be responsible for defining, collecting, processing, analyzing data across payment platform and payment products (e-wallet, points). You will work with internal teams and stakeholders to drive the company, its products, and operations forward through data analytics. 

Main Responsibilities

  • Effectively communicate with stakeholders to understand business requirements and translate them into measurable statistics
  • Influencing product strategy and decision through impactful insights and actionable recommendations (that reveals optimization and growth opportunities)
  • Design, develop and maintain analytical models and reports that showcase key product metrics
  • Design A/B tests and analyze results with statistical rigor
  • Partner and working together with data engineer in designing a proper data models


Working at Traveloka

  • You will work in cross-functional teams and meet great people regularly from top tier technology, consulting, product, or academic background.
  • We work in an open environment where there are no boundaries or power distance.
  • Everyone is encouraged to speak their mind, propose ideas, influence others, and continuously grow themselves.
  • Get the exposure to multi-aspect, collaborative, intensive startup experience with our recent expansion into Southeast Asia and exploration of new products.


  • A strong work initiative and the ability to adapt to new challenges and ideas
  • Have an inquisitive/curious mindset, demonstrating great problem-solving skills
  • Attention to detail, yet able to consider the bigger picture to drive performance and results
  • At least a Bachelor degree in a relevant field, e.g. finance, financial mathematics, computer science, mathematics, statistics, physics, bioinformatics, engineering
  • Strong statistics knowledge (A/B Testing, Exploratory Data Analysis, Classification models)
  • 5+ years of experience in data analytics with Big Data environment exposure (e.g. Spark, AWS, S3, Google BigQuery)
  • Knowledgeable in SQL (Compulsory) and Python/R programming (Compulsory)

Plus points:

  • Experience in the design and development a production grade ML models