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.
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.
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.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
FactSet’s trading sales specialist role sits at the intersection of front‑office fintech know‑how and enterprise sales. You become SME in LiquidityBook OMS (including EMS), IBOR, Shadow NAV and...
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FactSet’s trading sales specialist role sits at the intersection of front‑office fintech know‑how and enterprise sales. You become SME in LiquidityBook OMS (including EMS), IBOR, Shadow NAV and the FIX network, then translate that tech into multi‑million‑dollar deals with hedge funds and institutional managers. The opportunity is real: access to a broad data and analytics platform, a global client base, and pedigree from a well‑established vendor. The friction is nontrivial: 8+ years in high‑velocity sales, heavy travel, and the need to earn trust up to CXO level while keeping up with evolving market structure and compliance workflows. It stands out for brand reach and real product depth, but risks being a glorified relationship role rather than a product shaper. If compensation visibility and product direction are opaque, this is quota land with enterprise gravity.
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.
FactSet’s trading sales specialist role sits at the intersection of front‑office fintech know‑how and enterprise sales. You become SME in LiquidityBook OMS (including EMS), IBOR, Shadow NAV and the FIX network, then translate that tech into multi‑million‑dollar deals with hedge funds and institutional managers. The opportunity is real: access to a broad data and analytics platform, a global client base, and pedigree from a well‑established vendor. The friction is nontrivial: 8+ years in high‑velocity sales, heavy travel, and the need to earn trust up to CXO level while keeping up with evolving market structure and compliance workflows. It stands out for brand reach and real product depth, but risks being a glorified relationship role rather than a product shaper. If compensation visibility and product direction are opaque, this is quota land with enterprise gravity.
