Analytics and Portfolio Management Specialist SG
@ cimb-singapore
SG | 2025-12-29
An earnest risk-data role in CIMB Singapore promises building scalable data solutions, governance, and analytics to feed credit risk decisions and regulatory readiness. You'll integrate risk data...
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An earnest risk-data role in CIMB Singapore promises building scalable data solutions, governance, and analytics to feed credit risk decisions and regulatory readiness. You'll integrate risk data across credit and ops domains, godspeed data quality, traceability, and KRI dashboards, while nudging automation and predictive analytics in a bank wary of change. The tech stack leans on Python, SQL, SAS, R, and Tableau, plus MIS/analytics tools, with governance and MAS/audit readiness baked in. The pitfalls are real: regulatory scrutiny, data privacy constraints, and potential bureaucratic drag; the job blends analytics with project leadership and stakeholder diplomacy, raising expectations for both technical deliverables and people development. Market-wise, it's a solid, non-glamorous path for data engineers who want impact beyond dashboards but beware vague scope and possible legacy tech friction.
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...
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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.
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.
Product and Customer Analytics Specialist SG
@ cimb-singapore
SG | 2025-12-26
This role promises end-to-end analytics in Singapore consumer banking, mixing advanced modeling with data engineering chores like DataMart design and data ingestion governance. On the upside...
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This role promises end-to-end analytics in Singapore consumer banking, mixing advanced modeling with data engineering chores like DataMart design and data ingestion governance. On the upside you’ll touch SQL, Python, R, SAS and BI tools (Tableau/Power BI) to build dashboards, run A/B tests, perform segmentation and prescriptive analytics, and articulate data journeys to stakeholders. The breadth is its biggest trap: the posting asks for battlefield-level analytics chops while also insisting on data architecture know-how and regulatory savvy across deposits, wealth, loans and cards. That breadth invites opportunity for impact but risks scope creep, long delivery cycles and ambiguous ownership between analytics and engineering teams. It’s a credible, if grueling, bank analytics role that rewards practicality over buzzwords and rewards measurable business outcomes.
Rockwell Automation wants an experienced analyst for the Americas Lighthouse to feed the right information at the right time by analyzing industry research, government data, BI, and databases to...
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Rockwell Automation wants an experienced analyst for the Americas Lighthouse to feed the right information at the right time by analyzing industry research, government data, BI, and databases to ID opportunities. From Day 1 you’ll influence daily operations and growth, reporting to the Director, Global New Capacity, with a Singapore base and collaboration across management levels. Expect full analytics lifecycle work—from pulling and manipulating data to designing reports, specs, and flowcharts, plus ongoing metric evaluation to steer business plans. Essentials: Bachelor's in a relevant field; 5+ years in analytics; budget management; proficiency with SPSS, SAS, and Excel. It’s global in scope and offers hybrid options, but the description is bloated and the tech stack is thin beyond the named tools; the in-office requirement and cross‑regional setup may slow progress for a data-first outfit.
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.
Risk and Collection Analytics Specialist SG
@ cimb-singapore
SG | 2025-12-22
This role promises breadth across fraud risk analytics, collection optimization, and lending dashboards in a consumer banking context, with heavy reliance on SQL, Python, R, SAS, and BI tooling....
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This role promises breadth across fraud risk analytics, collection optimization, and lending dashboards in a consumer banking context, with heavy reliance on SQL, Python, R, SAS, and BI tooling. You'll build detection models, do post-transaction analysis, and spin up dashboards to track delinquency, recovery, and CBS submissions. The overlap of fraud, collection, and regulatory reporting signals an ambitious, multi-domain data stack that will strain data governance, data quality, and cross-team prioritization. Technically, it's solid for someone who can implement end-to-end pipelines, run clustering and network analyses, and translate insights into operational action. Where it stumbles is clarity on ownership, success metrics, and whether the company actually has mature data platforms or still cobbles together ad-hoc reports. It's practical, if you're prepared for banking-sector bureaucracy, not buzzword bingo.
Deloitte's Southeast Asia Regulatory & Financial Risk role reads like a hybrid: client-facing risk advisory fused with hands-on data analytics and modeling, aimed at Basel, IFRS9, liquidity and...
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Deloitte's Southeast Asia Regulatory & Financial Risk role reads like a hybrid: client-facing risk advisory fused with hands-on data analytics and modeling, aimed at Basel, IFRS9, liquidity and other regulations. The opportunity is to shape risk programs across multiple SEA markets, coordinate regional teams, and translate vague regulatory goals into pragmatic, evidence-based recommendations. The tech stack is modest but practical: SQL, Power BI, Python, SAS, with Excel as a workhorse. What stands out is the blend of consulting rigor and modeling focus, yet the role risks becoming a perpetual firefight of regulatory updates, scope creep, and travel across Bangkok, Hanoi, Singapore. The gaps: explicit salary data, clearer path to data engineering versus analytics, and a realistic workload given multi-market governance. A solid steer for a practitioner who values impact over buzzwords, with real demand in financial services.
An earnest risk-data role in CIMB Singapore promises building scalable data solutions, governance, and analytics to feed credit risk decisions and regulatory readiness. You'll integrate risk data across credit and ops domains, godspeed data quality, traceability, and KRI dashboards, while nudging automation and predictive analytics in a bank wary of change. The tech stack leans on Python, SQL, SAS, R, and Tableau, plus MIS/analytics tools, with governance and MAS/audit readiness baked in. The pitfalls are real: regulatory scrutiny, data privacy constraints, and potential bureaucratic drag; the job blends analytics with project leadership and stakeholder diplomacy, raising expectations for both technical deliverables and people development. Market-wise, it's a solid, non-glamorous path for data engineers who want impact beyond dashboards but beware vague scope and possible legacy tech friction.
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.
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.
This role promises end-to-end analytics in Singapore consumer banking, mixing advanced modeling with data engineering chores like DataMart design and data ingestion governance. On the upside you’ll touch SQL, Python, R, SAS and BI tools (Tableau/Power BI) to build dashboards, run A/B tests, perform segmentation and prescriptive analytics, and articulate data journeys to stakeholders. The breadth is its biggest trap: the posting asks for battlefield-level analytics chops while also insisting on data architecture know-how and regulatory savvy across deposits, wealth, loans and cards. That breadth invites opportunity for impact but risks scope creep, long delivery cycles and ambiguous ownership between analytics and engineering teams. It’s a credible, if grueling, bank analytics role that rewards practicality over buzzwords and rewards measurable business outcomes.
Rockwell Automation wants an experienced analyst for the Americas Lighthouse to feed the right information at the right time by analyzing industry research, government data, BI, and databases to ID opportunities. From Day 1 you’ll influence daily operations and growth, reporting to the Director, Global New Capacity, with a Singapore base and collaboration across management levels. Expect full analytics lifecycle work—from pulling and manipulating data to designing reports, specs, and flowcharts, plus ongoing metric evaluation to steer business plans. Essentials: Bachelor's in a relevant field; 5+ years in analytics; budget management; proficiency with SPSS, SAS, and Excel. It’s global in scope and offers hybrid options, but the description is bloated and the tech stack is thin beyond the named tools; the in-office requirement and cross‑regional setup may slow progress for a data-first outfit.
This role promises breadth across fraud risk analytics, collection optimization, and lending dashboards in a consumer banking context, with heavy reliance on SQL, Python, R, SAS, and BI tooling. You'll build detection models, do post-transaction analysis, and spin up dashboards to track delinquency, recovery, and CBS submissions. The overlap of fraud, collection, and regulatory reporting signals an ambitious, multi-domain data stack that will strain data governance, data quality, and cross-team prioritization. Technically, it's solid for someone who can implement end-to-end pipelines, run clustering and network analyses, and translate insights into operational action. Where it stumbles is clarity on ownership, success metrics, and whether the company actually has mature data platforms or still cobbles together ad-hoc reports. It's practical, if you're prepared for banking-sector bureaucracy, not buzzword bingo.
Deloitte's Southeast Asia Regulatory & Financial Risk role reads like a hybrid: client-facing risk advisory fused with hands-on data analytics and modeling, aimed at Basel, IFRS9, liquidity and other regulations. The opportunity is to shape risk programs across multiple SEA markets, coordinate regional teams, and translate vague regulatory goals into pragmatic, evidence-based recommendations. The tech stack is modest but practical: SQL, Power BI, Python, SAS, with Excel as a workhorse. What stands out is the blend of consulting rigor and modeling focus, yet the role risks becoming a perpetual firefight of regulatory updates, scope creep, and travel across Bangkok, Hanoi, Singapore. The gaps: explicit salary data, clearer path to data engineering versus analytics, and a realistic workload given multi-market governance. A solid steer for a practitioner who values impact over buzzwords, with real demand in financial services.
