Senior Data Analyst (Bangkok Based, relocation provided)
@ agoda
AU | 2025-12-28
The role at Agoda presents an opportunity for a data engineer to work with cutting-edge marketing tools and data-driven campaigns, but the focus is on performance marketing rather than traditional...
read more »
Senior Data Analyst (Bangkok Based, relocation provided)
agoda
(AU) FULL TIME | JOB LISTED
The role at Agoda presents an opportunity for a data engineer to work with cutting-edge marketing tools and data-driven campaigns, but the focus is on performance marketing rather than traditional data engineering. The job emphasizes A/B testing, model development, and dashboard creation, with a strong emphasis on statistical and analytical skills. While the team is diverse and innovative, the role does not align with typical data engineering responsibilities. The salary is not explicitly provided, and the job description lacks concrete technical details beyond generic qualifications. The company values diversity and innovation but does not offer a clear path for technical advancement, making the role more strategic than technical. The position is not suitable for someone seeking traditional data engineering roles, but it offers exposure to marketing data and analytics, which may be of interest to those with a niche focus.
This role is a data analyst position with a focus on pricing data, requiring proficiency in SAS, R, SQL, and Excel. The job involves data engineering, manipulation, and visualization, with a...
read more »
This role is a data analyst position with a focus on pricing data, requiring proficiency in SAS, R, SQL, and Excel. The job involves data engineering, manipulation, and visualization, with a strong emphasis on business insight and problem-solving. While the description highlights technical skills, it lacks specific details about the company, salary, or job type. The role seems to align with a data engineering or analytics engineer profile, but the lack of clarity on the company and salary makes it difficult to assess fully. The tools and technologies mentioned include SAS, R, SQL, and Excel, with some exposure to BI tools. The position appears to be an intermediary role, possibly as a contractor or agency role, given the emphasis on self-learning and adaptability. Salary range is not explicitly 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.
The role is a data engineering position focused on pricing systems, with emphasis on data analysis, algorithm development, and automation. It requires advanced SAS, R, SQL, and Excel skills, and...
read more »
The role is a data engineering position focused on pricing systems, with emphasis on data analysis, algorithm development, and automation. It requires advanced SAS, R, SQL, and Excel skills, and ideal for someone with insurance industry experience. The job involves building and testing pricing models, working with complex systems, and driving operational efficiency. The role stands out for its technical depth and real-world application, but may lack clarity on the company’s specific context or compensation. Tools include SAS, R, SQL, Excel, and BI tools like Cognos/Tableau. The job type is data_engineer, and it is not an intermediary position. Salary range is not explicitly provided.
The role is a data engineering position that requires advanced SAS, R, and SQL skills, with exposure to BI tools. The company is a BPM firm with a strong focus on financial and operational...
read more »
The role is a data engineering position that requires advanced SAS, R, and SQL skills, with exposure to BI tools. The company is a BPM firm with a strong focus on financial and operational services, offering a range of BPM solutions. The job emphasizes technical proficiency in data processing and analytics, but lacks specific details about the role’s scope, responsibilities, or the nature of the work. The company is positioned as a leader in BPM, but the job description is vague on key responsibilities and the type of work expected, making it difficult to assess its true value. The role stands out for its technical requirements but fails to clearly define the role’s purpose or expectations.
Data Analyst (Bangkok Based, relocation provided)
@ agoda
AU | 2025-12-27
This role is a misrepresentation of what data engineering entails. The posting highlights a performance marketing team focused on digital ads and A/B testing, with a strong emphasis on Excel, SAS,...
read more »
Data Analyst (Bangkok Based, relocation provided)
agoda
(AU) FULL TIME | JOB LISTED
This role is a misrepresentation of what data engineering entails. The posting highlights a performance marketing team focused on digital ads and A/B testing, with a strong emphasis on Excel, SAS, R, and Python. The job requires 2–3 years of experience in digital marketing, statistical analysis, and data modeling, but lacks specificity about the technologies, tools, or frameworks relevant to data engineering. The position appears to be misaligned with the core responsibilities of a data engineer, focusing instead on marketing analytics rather than data infrastructure and pipeline development. The company’s emphasis on diversity and innovation is notable, but the job description fails to clearly define the technical skills and tools expected, making it difficult to assess the role’s value or fit for a data engineer’s career. The salary information is not explicitly provided, and the job type is unspecified, leaving room for ambiguity.
This role is a misrepresentation of what data engineering entails. The job description highlights performance marketing, focusing on ad optimization and campaign analysis, but lacks clear...
read more »
This role is a misrepresentation of what data engineering entails. The job description highlights performance marketing, focusing on ad optimization and campaign analysis, but lacks clear technical requirements and fails to specify the required tools, frameworks, or skills. The position appears to be tailored for marketing specialists rather than data engineers, with vague expectations and no indication of the technical depth or tools expected. The company’s emphasis on diversity and inclusion is hollow without concrete qualifications or responsibilities. The role is misleading, as it does not align with the core competencies of a true data engineer, and the salary information is incomplete or absent. The job is a misnomer, offering little value to those seeking real technical challenges and innovation.
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.
Cloud Technical Architect at SAS in Sydney offers a hybrid role that couples architecture with pre-sales and delivery duties. The stack is clear: Microsoft Azure and AWS, reinforced by SAS...
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Cloud Technical Architect at SAS in Sydney offers a hybrid role that couples architecture with pre-sales and delivery duties. The stack is clear: Microsoft Azure and AWS, reinforced by SAS methodologies and software demonstrations, with a strong emphasis on security policy compliance and customer outcomes. Five years in cloud architecture and the ability to translate vague sales visions into concrete implementations are the core prerequisites. What stands out is the sales-to-delivery loop: you're expected to scope work, estimate costs, and build trust with clients, not just code. That's authentic for enterprise software, but it blurs the line between engineer and consultant, and you'll want to confirm compensation and workload. The posting's market signals are SAS branding, global delivery, and a stated commitment to inclusion; the tech depth is solid, but not uniquely ambitious for a senior cloud architect in a vendor ecosystem.
Quantium seeks a Lead Consultant in insurance analytics, combining deep expertise in personal lines products with advanced methodologies like GLMs and machine learning. The role offers a distinct...
read more »
Quantium seeks a Lead Consultant in insurance analytics, combining deep expertise in personal lines products with advanced methodologies like GLMs and machine learning. The role offers a distinct focus on leading high-impact projects and mentoring teams, with the risk of managing multiple complex initiatives while navigating client relationships. The position involves technical guidance and industry thought leadership, emphasizing the development of sophisticated analytical solutions and client engagement in Australia.
A six-month contract for a Technical Analyst focused on refining cost models within hospital and aged care costing, with a notable differentiator being the emphasis on stakeholder communication...
read more »
A six-month contract for a Technical Analyst focused on refining cost models within hospital and aged care costing, with a notable differentiator being the emphasis on stakeholder communication and model explanation; a risk involves the reliance on specific data sources in public health settings. Salary details are not explicitly provided.
Senior Data Analyst (Bangkok Based, relocation provided)
agoda
(AU) FULL TIME | JOB LISTED
The role at Agoda presents an opportunity for a data engineer to work with cutting-edge marketing tools and data-driven campaigns, but the focus is on performance marketing rather than traditional data engineering. The job emphasizes A/B testing, model development, and dashboard creation, with a strong emphasis on statistical and analytical skills. While the team is diverse and innovative, the role does not align with typical data engineering responsibilities. The salary is not explicitly provided, and the job description lacks concrete technical details beyond generic qualifications. The company values diversity and innovation but does not offer a clear path for technical advancement, making the role more strategic than technical. The position is not suitable for someone seeking traditional data engineering roles, but it offers exposure to marketing data and analytics, which may be of interest to those with a niche focus.
This role is a data analyst position with a focus on pricing data, requiring proficiency in SAS, R, SQL, and Excel. The job involves data engineering, manipulation, and visualization, with a strong emphasis on business insight and problem-solving. While the description highlights technical skills, it lacks specific details about the company, salary, or job type. The role seems to align with a data engineering or analytics engineer profile, but the lack of clarity on the company and salary makes it difficult to assess fully. The tools and technologies mentioned include SAS, R, SQL, and Excel, with some exposure to BI tools. The position appears to be an intermediary role, possibly as a contractor or agency role, given the emphasis on self-learning and adaptability. Salary range is not explicitly provided.
The role is a data engineering position focused on pricing systems, with emphasis on data analysis, algorithm development, and automation. It requires advanced SAS, R, SQL, and Excel skills, and ideal for someone with insurance industry experience. The job involves building and testing pricing models, working with complex systems, and driving operational efficiency. The role stands out for its technical depth and real-world application, but may lack clarity on the company’s specific context or compensation. Tools include SAS, R, SQL, Excel, and BI tools like Cognos/Tableau. The job type is data_engineer, and it is not an intermediary position. Salary range is not explicitly provided.
The role is a data engineering position that requires advanced SAS, R, and SQL skills, with exposure to BI tools. The company is a BPM firm with a strong focus on financial and operational services, offering a range of BPM solutions. The job emphasizes technical proficiency in data processing and analytics, but lacks specific details about the role’s scope, responsibilities, or the nature of the work. The company is positioned as a leader in BPM, but the job description is vague on key responsibilities and the type of work expected, making it difficult to assess its true value. The role stands out for its technical requirements but fails to clearly define the role’s purpose or expectations.
Data Analyst (Bangkok Based, relocation provided)
agoda
(AU) FULL TIME | JOB LISTED
This role is a misrepresentation of what data engineering entails. The posting highlights a performance marketing team focused on digital ads and A/B testing, with a strong emphasis on Excel, SAS, R, and Python. The job requires 2–3 years of experience in digital marketing, statistical analysis, and data modeling, but lacks specificity about the technologies, tools, or frameworks relevant to data engineering. The position appears to be misaligned with the core responsibilities of a data engineer, focusing instead on marketing analytics rather than data infrastructure and pipeline development. The company’s emphasis on diversity and innovation is notable, but the job description fails to clearly define the technical skills and tools expected, making it difficult to assess the role’s value or fit for a data engineer’s career. The salary information is not explicitly provided, and the job type is unspecified, leaving room for ambiguity.
This role is a misrepresentation of what data engineering entails. The job description highlights performance marketing, focusing on ad optimization and campaign analysis, but lacks clear technical requirements and fails to specify the required tools, frameworks, or skills. The position appears to be tailored for marketing specialists rather than data engineers, with vague expectations and no indication of the technical depth or tools expected. The company’s emphasis on diversity and inclusion is hollow without concrete qualifications or responsibilities. The role is misleading, as it does not align with the core competencies of a true data engineer, and the salary information is incomplete or absent. The job is a misnomer, offering little value to those seeking real technical challenges and innovation.
Cloud Technical Architect at SAS in Sydney offers a hybrid role that couples architecture with pre-sales and delivery duties. The stack is clear: Microsoft Azure and AWS, reinforced by SAS methodologies and software demonstrations, with a strong emphasis on security policy compliance and customer outcomes. Five years in cloud architecture and the ability to translate vague sales visions into concrete implementations are the core prerequisites. What stands out is the sales-to-delivery loop: you're expected to scope work, estimate costs, and build trust with clients, not just code. That's authentic for enterprise software, but it blurs the line between engineer and consultant, and you'll want to confirm compensation and workload. The posting's market signals are SAS branding, global delivery, and a stated commitment to inclusion; the tech depth is solid, but not uniquely ambitious for a senior cloud architect in a vendor ecosystem.
Quantium seeks a Lead Consultant in insurance analytics, combining deep expertise in personal lines products with advanced methodologies like GLMs and machine learning. The role offers a distinct focus on leading high-impact projects and mentoring teams, with the risk of managing multiple complex initiatives while navigating client relationships. The position involves technical guidance and industry thought leadership, emphasizing the development of sophisticated analytical solutions and client engagement in Australia.
A six-month contract for a Technical Analyst focused on refining cost models within hospital and aged care costing, with a notable differentiator being the emphasis on stakeholder communication and model explanation; a risk involves the reliance on specific data sources in public health settings. Salary details are not explicitly provided.
