Agoda is hiring a Lead DevOps Engineer (IC5) for its Data department in Bangkok, Thailand, with relocation provided. The role defines the vision, architecture, and multi-year technical roadmap for DevOps, automation, and platform engineering across hybrid multi-cloud and on-premises infrastructure, partnering with engineering directors, principal architects, and QA leads. Responsibilities include leading SRE and GitOps adoption, designing CI/CD and automation frameworks, resolving high-severity incidents in distributed data pipelines, mentoring engineers, and evaluating emerging platform technologies. Candidates need advanced software engineering skills, deep distributed systems expertise, and proven leadership in large-scale infrastructure initiatives.
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This Associate role sits within Grab's GrabMart & GrabExpress Strategy team in Bangkok, supporting strategic and operational priorities for Grab's quick-commerce and on-demand delivery businesses. Key responsibilities include owning GrabMart fleet management, partnering with regional driver product teams, supporting strategy development across both businesses, and driving execution of strategic and operational initiatives with measurable impact. The position suits candidates with 2–3 years of experience in logistics, last-mile delivery, e-commerce, marketplaces, or management consulting, who bring strong analytical and problem-solving skills, basic SQL familiarity, and the ability to thrive in a fast-paced environment.
This role focuses on creating data modelling tools to identify business opportunities through data insights. The engineer will create and deploy repeatable, interpretable, dynamic, and scalable models integrated into analytic data products using statistical and algorithmic techniques. Additionally, the position involves developing AI and machine learning solutions to optimize business performance and preparing data from various sets to build predictive models while communicating results.
This role involves creating data modelling tools to identify opportunities through data insights. The engineer will create and deploy repeatable, interpretable, dynamic, and scalable models using statistical and algorithmic techniques. The position also requires developing AI and machine learning solutions to optimize business performance and preparing data from various sets to build predictive models. The role includes advocating for data-driven decision making and handling other tasks assigned to align with business policy and support long-term business growth.
This role is based in Bangkok and involves partnering with HR Business Partners and business leaders to analyze talent needs and support effective people decisions. The consultant will contribute to performance management, talent reviews, succession planning, and organizational design. The position requires using data to identify talent patterns and risks, facilitating discussions with stakeholders, and developing practical guidance for talent processes.
This role involves partnering with HRBPs and business leaders to analyze talent needs and connect priorities with business goals. The consultant will support performance management, talent reviews, succession planning, and organizational design. Key duties include using data to identify talent patterns, preparing analysis on workforce trends, and facilitating evidence-based discussions to drive organizational effectiveness.
This role is a hands-on analyst and product builder operating at the intersection of Marketing, data, product development, and generative AI. The team focuses on creating scalable AI products for Marketing, including experiment analysis, business reporting, campaign operations, and content workflows. Responsibilities include identifying high-value workflows, quantifying opportunities, translating business needs into product requirements, and building prototypes using SQL and Python. The role requires partnering with developers and Marketing teams to deploy solutions, leading user research and pilots, and driving adoption. Success involves launching AI products that improve productivity and business outcomes.
Agoda is hiring a Data Analyst for a six-month contract within the Rocket Travel - Product department, based in Bangkok, Thailand. The role sits in the Data Analytics team and supports stakeholders across Marketing, Product, and Partners Services by delivering project-oriented analyses such as predictive modeling, customer segmentation, and dashboard design. The analyst owns projects end-to-end, from problem definition and data extraction to statistical analysis, visualization, and communication of findings. Candidates should hold a bachelor's degree in a quantitative field with up to two years of relevant experience working with large datasets and experimentation. Required skills include SQL proficiency, expert-level Excel, strong problem-solving ability, business sense, and fluent English. Experience with R or Python and visualization tools such as Tableau is a plus.
The Principal Data Scientist is a senior individual contributor who leads advanced analytics and machine-learning initiatives for Agoda's highest-impact opportunities. This role works across product and business domains, partnering with Product, Engineering, Analytics, and business leaders to turn complex problems into scalable, data-driven solutions. The position requires extensive hands-on experience in data science, machine learning, and statistics, along with strong Python and SQL skills. Candidates must be able to influence senior stakeholders and communicate clearly across technical and non-technical audiences.
The Associate will drive key QA projects and manage data workflows to improve compliance, efficiency, and audit accuracy across SPX operations. The role combines project management, stakeholder coordination, and data analysis to ensure smooth execution of QA initiatives and provide actionable insights to leadership. The position requires a Bachelor's degree in Business, Operations, or related fields with 2–4 years of experience in operations, data analysis, or project management. Candidates need strong skills in GSheet/Excel and SQL, experience in data cleaning and root cause analysis, and excellent communication in Thai and English. Occasional on-site visits to hubs or warehouses are required.