Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
@ agoda
SG | 2025-12-28
Agoda’s Performance Marketing analytics role reads as a junior entry into a global data stack: you’ll experiment with search and display campaigns across Google, Bing, Baidu, Naver, and social...
read more »
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
agoda
(SG) FULL TIME | JOB LISTED
Agoda’s Performance Marketing analytics role reads as a junior entry into a global data stack: you’ll experiment with search and display campaigns across Google, Bing, Baidu, Naver, and social platforms, then model the results and build dashboards for account managers. It promises a data-driven culture and exposure to large-scale marketing data, collaboration with a diverse team, and learning from seasoned analysts. What stands out, and what doesn’t: the job leans heavily on traditional stats tools—SAS, SPSS, R, Python, SQL, Excel, Tableau—rather than modern data engineering or cloud-native tooling, which limits scale and deployment automation. The “fresh graduates welcomed” line is honest but implies a probationary path; supervision is explicit, which hampers ownership. The multinational setup and Booking Holdings backing are compelling, but compensation visibility and career progression in analytics versus engineering remain unclear.
Finance Analyst role in Controlling hinges on month-end closing in SAP FI/CO, P&L and cost analysis, and churns out Excel-driven reports for Sales and Marketing. The tech stack is SAP and Excel,...
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Finance Analyst role in Controlling hinges on month-end closing in SAP FI/CO, P&L and cost analysis, and churns out Excel-driven reports for Sales and Marketing. The tech stack is SAP and Excel, with VBA a plus; no data warehouse or modern tooling evident. Requires 3–6 years, strong SAP, advanced Excel (SUMIFS, INDEX), pivot tables; knowledge of accounting principles; CPA/ACCA a plus. Opportunities lie in system configuration tweaks, cost allocation reviews, and cross‑functional forecasting, but risk is bang-for-the-buck Excel glare and late-stage deadline pressure. Lacks scalable data engineering or analytics tooling beyond Excel; career stability if you want a deep financial consolidation role, but not a data engineering career ladder.
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.
Agoda’s Bangkok-based role sits at the data-trenches of performance marketing, not a plush data-science lab. You’ll experiment with text and display campaigns across Google, Bing, Baidu, Naver,...
read more »
Agoda’s Bangkok-based role sits at the data-trenches of performance marketing, not a plush data-science lab. You’ll experiment with text and display campaigns across Google, Bing, Baidu, Naver, and Meta, then translate tests into repeatable tweaks and dashboards for account managers. The toolkit reads like a road map: Python, SQL, R, SAS, SPSS, Tableau, Excel, plus VBA for the brave. Modeling and data storytelling are prized, but the role demands grit: handling vast experimental data at scale, shipping insights with speed, and surviving a global, multi-national team. Agoda’s Booking Holdings backing is the real magnet, and the Bangkok relocation package helps. Still, this sits squarely in the analytics-engineer niche rather than a pure data science or product-engineering role—great for impact, not glamor.
Data Analyst (Bangkok Based, relocation provided)
@ agoda
SG | 2025-12-27
Agoda’s Bangkok-based Performance Marketing role centers on hands-on analytics for paid campaigns across Google, Bing, Baidu, Naver and social channels, with modeling and dashboards to back...
read more »
Data Analyst (Bangkok Based, relocation provided)
agoda
(SG) FULL TIME | JOB LISTED
Agoda’s Bangkok-based Performance Marketing role centers on hands-on analytics for paid campaigns across Google, Bing, Baidu, Naver and social channels, with modeling and dashboards to back decision-making. The candidate profile is solid: 2–3 years in a quantitative field, a degree, strong English, business acumen, and hands-on with Excel plus SAS, R, SPSS, Python, VBA, SQL and Tableau. A/B testing experience and independent daily analytics work are required. What stands out is the finance-meets-physics vibe: fast test cycles for campaign optimization tempered by real statistical craft. Relocation to Bangkok is offered, but the role’s salary remains undisclosed, which is a red flag in a market that talks more about dashboards than pay. It’s a pragmatic, not flashy, path for marketers who actually want to prove impact with data.
The Business Analyst for Material Costing Intelligence at VF in Singapore handles costing data systems, automation, and analytics, focusing heavily on data quality and process adherence with a...
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The Business Analyst for Material Costing Intelligence at VF in Singapore handles costing data systems, automation, and analytics, focusing heavily on data quality and process adherence with a notable emphasis on cross-functional communication. The role's differentiator is its direct influence on cost-saving initiatives through data analysis, while the primary risk involves reliance on stakeholder cooperation for data compliance. The position offers unspecified salary details, requires knowledge of Excel, Tableau, PowerBI, and basic data processing, and is categorized as an analyst. It is an intermediary role indicated by an agency involvement.
Business Intelligence Analyst (Operations) - SG Business Intelligence
@ shopee
SG | 2025-12-26
This role positions a BI/analytics generalist as translator and automation engineer: partner with business teams, lead cross-functional analytics projects, and own the automation of reporting via...
read more »
Business Intelligence Analyst (Operations) - SG Business Intelligence
shopee
(SG) FULL TIME | JOB LISTED
This role positions a BI/analytics generalist as translator and automation engineer: partner with business teams, lead cross-functional analytics projects, and own the automation of reporting via VBA, Python, and SQL. It promises front-to-back insight flows from back-end to front-end and variable algorithms to address complex data problems. The tech stack reads like a throwback to spreadsheet and script hobbyists—Python/SQL and Tableau are modern; VBA and Excel remain the crutch. The candidate is expected to analyze, tell stories with data, and communicate succinctly, with little on data governance, pipelines, or cloud infra. The job's standout is practical tooling and a clear impact path in routine reporting, but it risks underinvesting in scalable data architecture and modern data platforms. The required experience is modest, which can be a plus for growth, but could mean limited scope. Salary not disclosed, which is a red flag for market discipline.
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.
From the posting, the role is a global marketing analytics-support position that builds reporting and data-extraction solutions with SQL, Python, and Spark, atop a Hadoop ecosystem. It promises...
read more »
From the posting, the role is a global marketing analytics-support position that builds reporting and data-extraction solutions with SQL, Python, and Spark, atop a Hadoop ecosystem. It promises actionable insights to steer campaigns, with collaboration across offices and a data-engineering safety net. The tech stack hints at a legacy‑leaning big data setup rather than a cloud-native analytics dream, and the emphasis on reporting work suggests heavy ETL and dashboard duties more than true engineering or data science. Expect to wrangle messy marketing data, manage evolving tracking needs, and juggle cross‑team priorities in a fast-paced environment. The absence of salary details and a clear ownership model makes the opportunity feel promising in title but murky in scale and career progression.
The role requires supporting marketing functions with data and insight, using SQL, Python, and Spark, while working with big data in the Hadoop ecosystem. The job emphasizes problem-solving,...
read more »
The role requires supporting marketing functions with data and insight, using SQL, Python, and Spark, while working with big data in the Hadoop ecosystem. The job emphasizes problem-solving, attention to detail, and collaboration with cross-functional teams. While the skills align with data engineering, the focus on marketing analytics and the inclusion of VBA/Spark add a unique dimension. The role stands out for its practical focus on real-world data challenges, though the emphasis on marketing may limit its appeal to purely data engineering audiences. The salary is not explicitly provided, and the tools list is sparse but includes relevant technologies.
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
agoda
(SG) FULL TIME | JOB LISTED
Agoda’s Performance Marketing analytics role reads as a junior entry into a global data stack: you’ll experiment with search and display campaigns across Google, Bing, Baidu, Naver, and social platforms, then model the results and build dashboards for account managers. It promises a data-driven culture and exposure to large-scale marketing data, collaboration with a diverse team, and learning from seasoned analysts. What stands out, and what doesn’t: the job leans heavily on traditional stats tools—SAS, SPSS, R, Python, SQL, Excel, Tableau—rather than modern data engineering or cloud-native tooling, which limits scale and deployment automation. The “fresh graduates welcomed” line is honest but implies a probationary path; supervision is explicit, which hampers ownership. The multinational setup and Booking Holdings backing are compelling, but compensation visibility and career progression in analytics versus engineering remain unclear.
Finance Analyst role in Controlling hinges on month-end closing in SAP FI/CO, P&L and cost analysis, and churns out Excel-driven reports for Sales and Marketing. The tech stack is SAP and Excel, with VBA a plus; no data warehouse or modern tooling evident. Requires 3–6 years, strong SAP, advanced Excel (SUMIFS, INDEX), pivot tables; knowledge of accounting principles; CPA/ACCA a plus. Opportunities lie in system configuration tweaks, cost allocation reviews, and cross‑functional forecasting, but risk is bang-for-the-buck Excel glare and late-stage deadline pressure. Lacks scalable data engineering or analytics tooling beyond Excel; career stability if you want a deep financial consolidation role, but not a data engineering career ladder.
Agoda’s Bangkok-based role sits at the data-trenches of performance marketing, not a plush data-science lab. You’ll experiment with text and display campaigns across Google, Bing, Baidu, Naver, and Meta, then translate tests into repeatable tweaks and dashboards for account managers. The toolkit reads like a road map: Python, SQL, R, SAS, SPSS, Tableau, Excel, plus VBA for the brave. Modeling and data storytelling are prized, but the role demands grit: handling vast experimental data at scale, shipping insights with speed, and surviving a global, multi-national team. Agoda’s Booking Holdings backing is the real magnet, and the Bangkok relocation package helps. Still, this sits squarely in the analytics-engineer niche rather than a pure data science or product-engineering role—great for impact, not glamor.
Data Analyst (Bangkok Based, relocation provided)
agoda
(SG) FULL TIME | JOB LISTED
Agoda’s Bangkok-based Performance Marketing role centers on hands-on analytics for paid campaigns across Google, Bing, Baidu, Naver and social channels, with modeling and dashboards to back decision-making. The candidate profile is solid: 2–3 years in a quantitative field, a degree, strong English, business acumen, and hands-on with Excel plus SAS, R, SPSS, Python, VBA, SQL and Tableau. A/B testing experience and independent daily analytics work are required. What stands out is the finance-meets-physics vibe: fast test cycles for campaign optimization tempered by real statistical craft. Relocation to Bangkok is offered, but the role’s salary remains undisclosed, which is a red flag in a market that talks more about dashboards than pay. It’s a pragmatic, not flashy, path for marketers who actually want to prove impact with data.
The Business Analyst for Material Costing Intelligence at VF in Singapore handles costing data systems, automation, and analytics, focusing heavily on data quality and process adherence with a notable emphasis on cross-functional communication. The role's differentiator is its direct influence on cost-saving initiatives through data analysis, while the primary risk involves reliance on stakeholder cooperation for data compliance. The position offers unspecified salary details, requires knowledge of Excel, Tableau, PowerBI, and basic data processing, and is categorized as an analyst. It is an intermediary role indicated by an agency involvement.
Business Intelligence Analyst (Operations) - SG Business Intelligence
shopee
(SG) FULL TIME | JOB LISTED
This role positions a BI/analytics generalist as translator and automation engineer: partner with business teams, lead cross-functional analytics projects, and own the automation of reporting via VBA, Python, and SQL. It promises front-to-back insight flows from back-end to front-end and variable algorithms to address complex data problems. The tech stack reads like a throwback to spreadsheet and script hobbyists—Python/SQL and Tableau are modern; VBA and Excel remain the crutch. The candidate is expected to analyze, tell stories with data, and communicate succinctly, with little on data governance, pipelines, or cloud infra. The job's standout is practical tooling and a clear impact path in routine reporting, but it risks underinvesting in scalable data architecture and modern data platforms. The required experience is modest, which can be a plus for growth, but could mean limited scope. Salary not disclosed, which is a red flag for market discipline.
From the posting, the role is a global marketing analytics-support position that builds reporting and data-extraction solutions with SQL, Python, and Spark, atop a Hadoop ecosystem. It promises actionable insights to steer campaigns, with collaboration across offices and a data-engineering safety net. The tech stack hints at a legacy‑leaning big data setup rather than a cloud-native analytics dream, and the emphasis on reporting work suggests heavy ETL and dashboard duties more than true engineering or data science. Expect to wrangle messy marketing data, manage evolving tracking needs, and juggle cross‑team priorities in a fast-paced environment. The absence of salary details and a clear ownership model makes the opportunity feel promising in title but murky in scale and career progression.
The role requires supporting marketing functions with data and insight, using SQL, Python, and Spark, while working with big data in the Hadoop ecosystem. The job emphasizes problem-solving, attention to detail, and collaboration with cross-functional teams. While the skills align with data engineering, the focus on marketing analytics and the inclusion of VBA/Spark add a unique dimension. The role stands out for its practical focus on real-world data challenges, though the emphasis on marketing may limit its appeal to purely data engineering audiences. The salary is not explicitly provided, and the tools list is sparse but includes relevant technologies.
