Associate Data Analyst (New Graduate, Thai Speaking) (Marketing Analytics, Bangkok Based)
@ agoda
GB | 2025-12-28
Agoda’s Performance Marketing role sits at the noisy boundary between hands-on experimentation and the data scaffolding that supports it. You’ll work on search and display campaigns across Google,...
read more »
Associate Data Analyst (New Graduate, Thai Speaking) (Marketing Analytics, Bangkok Based)
agoda
(GB) FULL TIME | JOB LISTED
Agoda’s Performance Marketing role sits at the noisy boundary between hands-on experimentation and the data scaffolding that supports it. You’ll work on search and display campaigns across Google, Bing, Baidu and friends, then try to translate ad tests into models and dashboards that account managers can actually use. The requirements are refreshingly concrete for an entry role: a quantitative degree, English fluency, and a familiar toolkit (SAS, R, SPSS, Python, SQL, Tableau, Excel). What stands out is the exposure to multi-market campaigns and a culture of experimentation, not just analytics fluff. What’s gnarly: you’re judged by immediate marketing outcomes, metrics drift, and platform quirks more than long-term data quality. It’s a real-world lab rather than a data platform throttle, with global scale and brand heft backing you. If you want a foot in the industry door, this market-ready setup has legs, but beware the pace and the noise.
Agoda's Bangkok-based Performance Marketing role sits at the data-driven core of an global marketing machine. You’ll design and analyze experiments across search and display partners (Google,...
read more »
Agoda's Bangkok-based Performance Marketing role sits at the data-driven core of an global marketing machine. You’ll design and analyze experiments across search and display partners (Google, Bing, Baidu, Naver, Facebook, etc.), model optimization levers, and build dashboards for account managers to drive lifetime value. The team touts ownership, experimentation, and cross-cultural collaboration, with relocation offered to Bangkok. Requirements skew quantitative: a bachelor’s or higher, fluent English, and hands-on with SQL, Python, R, SAS, SPSS, VBA, Excel, and Tableau. It’s attractive for those who want actionable analytics at scale, but the posting skimps on data-ops reality—no explicit note on pipelines, data quality, or on-call reliability. Salary is not disclosed, and the role leans toward analytics rather than pure engineering. Still, a credible path into high-visibility marketing analytics within a Booking Holdings-scale org.
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Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.
Data Analyst (Bangkok Based, relocation provided)
@ agoda
GB | 2025-12-28
This role is a high-stakes, data-driven position at Agoda, focusing on performance marketing and analytics. The job demands expertise in digital marketing, A/B testing, and data science, with a...
read more »
Data Analyst (Bangkok Based, relocation provided)
agoda
(GB) FULL TIME | JOB LISTED
This role is a high-stakes, data-driven position at Agoda, focusing on performance marketing and analytics. The job demands expertise in digital marketing, A/B testing, and data science, with a strong emphasis on experimentation and optimization. The role is highly technical, requiring proficiency in tools like Python, R, and SQL, and a deep understanding of marketing metrics. The company values diversity and innovation, but the position is likely to be competitive, with a focus on practical, real-world applications of data engineering. The job is not overly hyped, but it is technically demanding and requires a strong background in analytics and marketing. The salary is not explicitly provided, but the role is likely to be in a high-growth, tech-driven environment with potential for career advancement.
An internship at Amazon offers hands-on experience in financial data analysis, automation, and strategic decision-making within a multinational startup culture. The unique aspect is exposure to AI...
read more »
An internship at Amazon offers hands-on experience in financial data analysis, automation, and strategic decision-making within a multinational startup culture. The unique aspect is exposure to AI solutions, though the risk lies in job security after the internship ends. The role emphasizes learning and networking but requires working with large datasets and advanced Excel skills, with a potential relocation package in play. Salary details are not specified, leaving that to the imagination.
Senior business analyst in London, embedded in SEFE's Front Office Support within the Trading-IT D&A Delivery vertical. You’ll collect and translate trader, risk, and operations needs into...
read more »
Senior business analyst in London, embedded in SEFE's Front Office Support within the Trading-IT D&A Delivery vertical. You’ll collect and translate trader, risk, and operations needs into functional specs, while providing day-to-day IT support for front-office tools. Data work is central—big datasets, analytical models, dashboards in SQL, Excel, Power BI or Tableau, with emphasis on ETRM data and workflows. You’ll shape solutions with developers and architects toward sustainable, scalable outcomes, and drive process improvements in a Kanban-driven, high-pressure delivery cadence. The role requires deep European Gas, Power and Carbon market knowledge and front-office risk analytics, plus strong Excel/SQL (VBA desirable). What stands out: niche domain depth, direct exposure to trading risk, hybrid London role. Gaps: no salary detail, unclear career trajectory, and potential ETRM-vendor lock-in. A practical, not flashy, data-ops perch.
The Clients & Markets Analyst at Simpson Thacher & Bartlett LLP performs market research, data analysis, and insight generation to support client engagement and strategic planning. A key...
read more »
The Clients & Markets Analyst at Simpson Thacher & Bartlett LLP performs market research, data analysis, and insight generation to support client engagement and strategic planning. A key differentiator is their focus on translating complex data into actionable recommendations, though this role carries the risk of relying on proprietary information that may be incomplete or outdated. Salary details are unspecified, and familiarity with intelligence tools and databases is preferred.
The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...
A finance internship at Amazon offers practical experience in data analysis, financial modeling, and automation within a multinational company that maintains a startup spirit. The role's...
read more »
A finance internship at Amazon offers practical experience in data analysis, financial modeling, and automation within a multinational company that maintains a startup spirit. The role's differentiator is the exposure to AI solutions, but the primary risk lies in the fast-paced, ambiguous environment where expectations may outpace your skillset. Compensation details are not specified, and the role involves working with tools like Microsoft Excel, SQL, and Tableau, among others.
Associate Data Analyst (New Graduate, Thai Speaking) (Marketing Analytics, Bangkok Based)
agoda
(GB) FULL TIME | JOB LISTED
Agoda’s Performance Marketing role sits at the noisy boundary between hands-on experimentation and the data scaffolding that supports it. You’ll work on search and display campaigns across Google, Bing, Baidu and friends, then try to translate ad tests into models and dashboards that account managers can actually use. The requirements are refreshingly concrete for an entry role: a quantitative degree, English fluency, and a familiar toolkit (SAS, R, SPSS, Python, SQL, Tableau, Excel). What stands out is the exposure to multi-market campaigns and a culture of experimentation, not just analytics fluff. What’s gnarly: you’re judged by immediate marketing outcomes, metrics drift, and platform quirks more than long-term data quality. It’s a real-world lab rather than a data platform throttle, with global scale and brand heft backing you. If you want a foot in the industry door, this market-ready setup has legs, but beware the pace and the noise.
Agoda's Bangkok-based Performance Marketing role sits at the data-driven core of an global marketing machine. You’ll design and analyze experiments across search and display partners (Google, Bing, Baidu, Naver, Facebook, etc.), model optimization levers, and build dashboards for account managers to drive lifetime value. The team touts ownership, experimentation, and cross-cultural collaboration, with relocation offered to Bangkok. Requirements skew quantitative: a bachelor’s or higher, fluent English, and hands-on with SQL, Python, R, SAS, SPSS, VBA, Excel, and Tableau. It’s attractive for those who want actionable analytics at scale, but the posting skimps on data-ops reality—no explicit note on pipelines, data quality, or on-call reliability. Salary is not disclosed, and the role leans toward analytics rather than pure engineering. Still, a credible path into high-visibility marketing analytics within a Booking Holdings-scale org.
Data Analyst (Bangkok Based, relocation provided)
agoda
(GB) FULL TIME | JOB LISTED
This role is a high-stakes, data-driven position at Agoda, focusing on performance marketing and analytics. The job demands expertise in digital marketing, A/B testing, and data science, with a strong emphasis on experimentation and optimization. The role is highly technical, requiring proficiency in tools like Python, R, and SQL, and a deep understanding of marketing metrics. The company values diversity and innovation, but the position is likely to be competitive, with a focus on practical, real-world applications of data engineering. The job is not overly hyped, but it is technically demanding and requires a strong background in analytics and marketing. The salary is not explicitly provided, but the role is likely to be in a high-growth, tech-driven environment with potential for career advancement.
An internship at Amazon offers hands-on experience in financial data analysis, automation, and strategic decision-making within a multinational startup culture. The unique aspect is exposure to AI solutions, though the risk lies in job security after the internship ends. The role emphasizes learning and networking but requires working with large datasets and advanced Excel skills, with a potential relocation package in play. Salary details are not specified, leaving that to the imagination.
Senior business analyst in London, embedded in SEFE's Front Office Support within the Trading-IT D&A Delivery vertical. You’ll collect and translate trader, risk, and operations needs into functional specs, while providing day-to-day IT support for front-office tools. Data work is central—big datasets, analytical models, dashboards in SQL, Excel, Power BI or Tableau, with emphasis on ETRM data and workflows. You’ll shape solutions with developers and architects toward sustainable, scalable outcomes, and drive process improvements in a Kanban-driven, high-pressure delivery cadence. The role requires deep European Gas, Power and Carbon market knowledge and front-office risk analytics, plus strong Excel/SQL (VBA desirable). What stands out: niche domain depth, direct exposure to trading risk, hybrid London role. Gaps: no salary detail, unclear career trajectory, and potential ETRM-vendor lock-in. A practical, not flashy, data-ops perch.
The Clients & Markets Analyst at Simpson Thacher & Bartlett LLP performs market research, data analysis, and insight generation to support client engagement and strategic planning. A key differentiator is their focus on translating complex data into actionable recommendations, though this role carries the risk of relying on proprietary information that may be incomplete or outdated. Salary details are unspecified, and familiarity with intelligence tools and databases is preferred.
A finance internship at Amazon offers practical experience in data analysis, financial modeling, and automation within a multinational company that maintains a startup spirit. The role's differentiator is the exposure to AI solutions, but the primary risk lies in the fast-paced, ambiguous environment where expectations may outpace your skillset. Compensation details are not specified, and the role involves working with tools like Microsoft Excel, SQL, and Tableau, among others.
