Senior Data Analyst

Job Description

Job ID: MJ000236

Job Description

We're building a smarter, more transparent Insurance experience for millions of travellers. Our products span Traveloka's core offerings — Flight, Accommodation, Ground Transport, and Travel Activities — and data is at the heart of how we grow and improve them.

Think of yourself as a data generalist powered by LLM — someone who moves fluidly across product analytics, BI, data science, and data engineering to drive real business impact, not just measure it.

Our Tech Stack

BigQuery, Claude, dbt, Python, SQL, Tableau, Looker Studio, GitHub

Job Responsibilities

• Own end-to-end analysis for Insurance product and pricing strategy — from framing the right questions to delivering actionable recommendations to stakeholders.
• Design, run, analyze, and automate A/B tests and experiments to evaluate product changes, pricing hypotheses, and growth levers.
• Design LLM-compatible datamarts and semantic layers that serve both business reporting needs and downstream AI/LLM applications — then build the Tableau dashboards on top, ensuring a clean, scalable foundation from data model to insight delivery.
• Develop and maintain ETL/ELT pipelines using dbt within a robust, automated framework.
• Collaborate closely with Product Managers, business owners, and the broader Data team to translate business problems into analytical solutions.
• Explore and apply GenAI and LLM tools to improve the efficiency and depth of data workflows and customer insights.
  
  

Job Requirements

• 5+ years of experience in analytics, data science, or a closely related field.
• Experience in tech, e-commerce, or other fast-moving consumer product businesses.
• Proficiency in SQL and Python for data wrangling, analysis, and modeling.
• Hands-on experience with Tableau or similar BI tools, with the ability to architect dashboards from the datamart layer up — not just build on top of existing data.
• Solid understanding of experiment design and A/B testing methodology — from setup to statistical interpretation.
• Experience designing scalable data models, LLM-compatible semantic layers, and ETL/ELT pipelines using dbt.
• Strong first-principles thinking — comfortable breaking down ambiguous business problems and structuring them from scratch.
• Clear, confident communicator who can translate complex analyses into narratives that resonate with both technical and non-technical audiences.
• Thrives in a fast-paced environment and comfortable re-prioritizing as the business evolves.
• A genuine interest in GenAI and LLM applications in analytics — this is core to how we work, not an afterthought.