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Agoda

Online travel booking platform for accommodations

Operations Analyst

Data Analysis +1Posted on Nov 6
Full-timeToronto, ON, CanadaCA$50k - CA$70k

About the Job

Requirements

  • At least 2 years of experience working in business analysis, data analysis, reporting, or data engineering; strong internship experience will also be considered.
  • A bachelor's degree or higher in computer sciences, engineering, mathematics, statistics, data science, or a related degree program.
  • Ability to interpret novel data sources to improve understanding of business position and identify new opportunities.
  • Expertise in data analysis and data visualization tools such as Excel, SQL, Tableau, Python, R, or similar.
  • Expertise or interest in developing AI solutions and implementing governance models.
  • Working proficiency in XML, data modelling, data architecture, and related components.
  • A proven track record of using data to measure performance and make decisions.
  • Ability to analyze and resolve complex problems using data.
  • Ability to convey complex messages clearly in verbal and written communication.
  • Strong interpersonal, relationship-building, and stakeholder management skills.
  • Based in the Greater Toronto Area to attend ad-hoc team functions.
  • Ability to work some nights to collaborate with Bangkok-based teams.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from Agoda systems, third-party tools, and logs.
  • Develop and optimize data models, including warehouse tables, marts, and views, to power reporting, monitoring, forecasting, quality assurance, and experimentation.
  • Ensure data quality, reliability, and observability.
  • Help design, build, test, and improve AI-enabled tools and workflows.
  • Build and maintain reporting tools such as dashboards and Cursor Canvas.
  • Process and organize large datasets to extract insights and support operational reporting, helping internal stakeholders understand business performance and identify action points.
  • Perform ad-hoc analysis of business trends and results, and communicate findings to leadership and key stakeholders.
  • Recommend metrics, techniques, and strategies to improve team performance and measurement.
  • Use GitHub to manage code repositories, collaborate, review changes, and maintain development history.
  • Identify high-value opportunities with stakeholders for automation, intelligent reporting, data analysis, documentation, and internal process improvement.
  • Evaluate AI outputs for quality, accuracy, privacy, usability, and alignment with organizational requirements.
  • Help build and maintain the team's AI infrastructure.

Desired Qualifications

  • An MBA or master's degree in a quantitative subject such as computer science, data science, analytics, mathematics, engineering, science, economics, or finance.
  • Experience in natural language processing, image processing, or recommendation systems.
  • Hands-on data engineering experience with big data frameworks such as Spark or Hadoop.
  • Experience in data science for e-commerce or online travel agencies.

About the Company

Agoda

Online travel booking platform for accommodations

Agoda is an online travel platform that lets people book places to stay, like hotels and vacation rentals, around the world. It operates web and mobile apps that present listings with prices, availability, and user reviews so travelers can reserve rooms easily. Customers search by destination, filter options (like price, location, and amenities), compare deals, and complete secure bookings within the app. Agoda differentiates itself with a large, globally distributed inventory (over 2,000,000 properties) and multilingual support across 38 languages, using local knowledge and connections to source the best offers for both business and leisure travelers. It is part of Booking Holdings, which helps it reach a wide audience and integrate with other travel services. Agoda’s goal is to help millions of travelers find and book comfortable places to stay at great value while partnering with property owners to grow their business.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Singapore, Singapore
Founded
2005

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