Senior Data Analyst

Job Responsibilities

Analyze the effectiveness of Traveloka's commercial programs, identifying opportunities to optimize program deployment and improve supply quality across availability, price competitiveness, and revenue margin.

Proactively surface data-driven recommendations on which hotels, markets, or segments should be onboarded or realigned to existing commercial programs, based on performance signals and competitive positioning.

Support Market Managers (MMs) by investigating KPI dashboard metrics, diagnosing root causes behind performance gaps, and providing rigorous data evidence to explain why a metric is at its current level and what actions can be taken to improve it.

Design and execute data experiments or A/B tests to validate commercial hypotheses and quantify incremental program impact.

Build and maintain data pipelines and dashboards to monitor key business metrics, ensuring data accuracy, completeness, and timeliness for commercial and operational reporting.

Conduct deep-dive analyses – including funnel conversion, cohort analysis, long-term trend analysis, and hotel or market segmentation to uncover patterns and opportunities not visible in standard reporting.

Apply quantitative and qualitative analytical methods to enable data-driven decision-making, and develop advanced analytics models to address complex business needs.

Job Requirements

Bachelor's or Master's degree in Statistics, Mathematics, Physics, Computer Science, Engineering, Economics, or a related quantitative field.

• 5+ years of experience in a data analyst, data scientist, or similar data role.
• 5+ years of hands-on experience with SQL, spreadsheet tools, and Python.
• 5+ years of experience building dashboards using BI or data visualization tools such as Tableau, Looker Studio, or Domo.

Strong analytical instinct – comfortable working with open-ended, ambiguous business questions and translating them into structured analyses.

Excellent communication, presentation, and data storytelling skills, with the ability to convey complex findings clearly to both technical and non-technical stakeholders.

• Proven experience in statistical experimentation or A/B testing is required.
• Ability to manage multiple stakeholders and prioritize competing demands effectively.
• Experience working on cloud platforms such as GCP, AWS, or Azure is a plus.