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.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
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.
Data Scientist II – QuantumBlack, AI by McKinsey
@ quantumblack
GB | 2025-12-28
London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production...
read more »
Data Scientist II – QuantumBlack, AI by McKinsey
quantumblack
(GB) FULL TIME | JOB LISTED
London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production deployment, R&D, and interdepartmental collaboration, plus the sheen of attending ICML/NIPS and presenting at conferences. The core tech bar is what you'd expect: Python, SQL, PySpark, Databricks, Airflow, Kedro, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Familiarity with GenAI is a plus, as is the push to translate analytics into measurable business outcomes. The pitch leans heavily on learning culture, mentorship, and global mobility, which while appealing, can hide a demanding, travel-heavy cadence and a consultancy-style pace. The compensation is described as competitive but no numbers, and the emphasis on leadership growth may outpace job security for practical data engineers. Overall, a platform-heavy role with real data stack leverage but with potential burn rate in time and travel.
Data Scientist I - QuantumBlack, AI by McKinsey
@ quantumblack
GB | 2025-12-26
McKinsey’s Data Scientist I in London promises a client-facing, high-velocity path that blends analytics, code, and real business impact. You’ll translate business needs into models, collaborate...
read more »
Data Scientist I - QuantumBlack, AI by McKinsey
quantumblack
(GB) FULL TIME | JOB LISTED
McKinsey’s Data Scientist I in London promises a client-facing, high-velocity path that blends analytics, code, and real business impact. You’ll translate business needs into models, collaborate across disciplines, and contribute to internal tooling and R&D while potentially presenting at conferences such as NIPS and ICML. The tech stack is broad: Python and R, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro, Dask, RAPIDS, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure); GenAI experience is a strong plus. That breadth offers real early-career growth, but the role is heavy on client work, travel, and cross-geo collaboration with a consulting performance culture. Expect mentorship and visible business impact, but also political nuance and long hours as the price of scale rather than pure product-building excellence.
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms...
read more »
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms with traditional management consulting. The role’s differentiator is the combination of Mastercard’s rich data assets with strategic advisory, though the risk of handling sensitive financial data cannot be ignored. Candidates must manage complex projects and client relationships, with no explicit salary details provided.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
Six-month full-time Technical Support Intern at SAS's CareerStart program in the UK, London or Marlow, hybrid with three on-site days and two remote. It’s pitched as real work for interns,...
read more »
Six-month full-time Technical Support Intern at SAS's CareerStart program in the UK, London or Marlow, hybrid with three on-site days and two remote. It’s pitched as real work for interns, tackling customer-reported problems, escalations, and cross-border collaboration with a global team, plus hands-on internal projects that touch the tech stack but likely stop short of building data pipelines. Requires STEM or engineering/CS background; comfortable with Windows, Unix, and Linux; basic Python, R, SQL; SAS programming is a bonus and cloud/data analytics familiarity helps. The lure is genuine exposure - executive time, training, and a SAS certification - but the downside is the internship label in a vendor-dominated space with unclear compensation and limited infrastructure work. For data professionals, useful if you want enterprise software experience and SAS pedigree; risky if you seek hands-on engineering scale and modern cloud pipelines.
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.
Data Scientist II – QuantumBlack, AI by McKinsey
quantumblack
(GB) FULL TIME | JOB LISTED
London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production deployment, R&D, and interdepartmental collaboration, plus the sheen of attending ICML/NIPS and presenting at conferences. The core tech bar is what you'd expect: Python, SQL, PySpark, Databricks, Airflow, Kedro, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Familiarity with GenAI is a plus, as is the push to translate analytics into measurable business outcomes. The pitch leans heavily on learning culture, mentorship, and global mobility, which while appealing, can hide a demanding, travel-heavy cadence and a consultancy-style pace. The compensation is described as competitive but no numbers, and the emphasis on leadership growth may outpace job security for practical data engineers. Overall, a platform-heavy role with real data stack leverage but with potential burn rate in time and travel.
Data Scientist I - QuantumBlack, AI by McKinsey
quantumblack
(GB) FULL TIME | JOB LISTED
McKinsey’s Data Scientist I in London promises a client-facing, high-velocity path that blends analytics, code, and real business impact. You’ll translate business needs into models, collaborate across disciplines, and contribute to internal tooling and R&D while potentially presenting at conferences such as NIPS and ICML. The tech stack is broad: Python and R, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro, Dask, RAPIDS, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure); GenAI experience is a strong plus. That breadth offers real early-career growth, but the role is heavy on client work, travel, and cross-geo collaboration with a consulting performance culture. Expect mentorship and visible business impact, but also political nuance and long hours as the price of scale rather than pure product-building excellence.
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms with traditional management consulting. The role’s differentiator is the combination of Mastercard’s rich data assets with strategic advisory, though the risk of handling sensitive financial data cannot be ignored. Candidates must manage complex projects and client relationships, with no explicit salary details provided.
Six-month full-time Technical Support Intern at SAS's CareerStart program in the UK, London or Marlow, hybrid with three on-site days and two remote. It’s pitched as real work for interns, tackling customer-reported problems, escalations, and cross-border collaboration with a global team, plus hands-on internal projects that touch the tech stack but likely stop short of building data pipelines. Requires STEM or engineering/CS background; comfortable with Windows, Unix, and Linux; basic Python, R, SQL; SAS programming is a bonus and cloud/data analytics familiarity helps. The lure is genuine exposure - executive time, training, and a SAS certification - but the downside is the internship label in a vendor-dominated space with unclear compensation and limited infrastructure work. For data professionals, useful if you want enterprise software experience and SAS pedigree; risky if you seek hands-on engineering scale and modern cloud pipelines.
