Senior Data Analyst, Flights Growth

Agoda Company Pte. Ltd.; Montreal; Hybrid; CAD 70,000 - 110,000; Full time

Job summary

Agoda is seeking a data-savvy analyst to drive insights for the Flights vertical. You will design experiments, analyze large datasets, and translate findings into actionable strategies across channels. You will work with marketing, product, and supply teams to identify opportunities and measure impact.

Ideal candidates have 5–7 years in data analysis, strong SQL/Tableau/MS Excel skills, and excellent communication. A marketing background and Python/R knowledge are a plus.

Qualifications

• 5–7 years in Data Analyst roles or big data projects.
• Proficient in BI tools and data warehouses (SQL, Tableau, MS Excel).
• Strong analytical skills to translate data into actionable insights and recommendations.
• Excellent written and verbal communication, with ability to present findings clearly.
• Stakeholder management, including communicating with Senior Management.

Responsibilities

• Set Marketing strategy for Flights verticals (outside of pricing).
• Spearhead development, execution, and optimization strategy for growing Agoda’s Flights business across channels.
• Conduct end-to-end analysis of large, complex datasets; translate data into insights.
• Develop hypotheses, design experiments (A/B tests), and evaluate campaign effectiveness.
• Partner with Marketing Accommodation, Flights product and flights supply to analyze data and interpret trends.
• Communicate findings and strategic recommendations to stakeholders.

Skills

Analytical thinking

Stakeholder management

Communication skills

Problem solving

Education

Bachelor’s degree in CS/Statistics/Math/Engineering/Economics and Finance

Tools

SQL

Tableau

MS Excel

Python

Job description

Agoda is seeking a data-savvy analyst to drive insights for the Flights vertical. You will design experiments, analyze large datasets, and translate findings into actionable strategies across channels. You will work with marketing, product, and supply teams to identify opportunities and measure impact.

Ideal candidates have 5–7 years in data analysis, strong SQL/Tableau/MS Excel skills, and excellent communication. A marketing background and Python/R knowledge are a plus.