Agoda's Performance Marketing role is a data-first position that blends analytics, experimentation, and campaign optimization across search and social channels for a global hotel inventory. The...
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Senior Data Analyst (Marketing Analytics, Bangkok Based, Relocation provided)
agoda
(JP) FULL TIME | JOB LISTED
Agoda's Performance Marketing role is a data-first position that blends analytics, experimentation, and campaign optimization across search and social channels for a global hotel inventory. The tech stack is practical, if not glamorous: SAS, R, SPSS, Python, SQL, Tableau, and Excel with VBA for the odd automation, plus hands-on work with Google Ads, Bing, Baidu, Naver and social platforms. The candidate needs 4-5 years of quantitative experience, a strong degree in a quantitative field, advanced statistics, and the ability to lead A/B tests, build predictive or attribution models, and deliver dashboards that actually move spend and channel mix. It’s a senior, global role in a large, diverse org with scale and visibility, yet the day-to-day can feel routine if management wants dashboards over experiments. Salary isn't disclosed; posting spans many cities, which helps mobility but dilutes focus.
Data Analyst (Bangkok Based, relocation provided)
@ agoda
JP | 2025-12-27
Agoda's Bangkok-based Performance Marketing role blends analytics with live campaign optimization. Expect 2–3 years in quantitative work, a degree in math-ish fields, strong stats, and hands-on...
read more »
Data Analyst (Bangkok Based, relocation provided)
agoda
(JP) FULL TIME | JOB LISTED
Agoda's Bangkok-based Performance Marketing role blends analytics with live campaign optimization. Expect 2–3 years in quantitative work, a degree in math-ish fields, strong stats, and hands-on SQL, Python, Excel, and a suite like SAS, R, SPSS, VBA, Tableau. You’ll design and analyze A/B tests, build models for bid and creative optimization, and deliver dashboards for account managers across Google, Bing, Baidu, Naver and social platforms. The job advert promises global reach, diverse team, generous relocation, and a culture of experimentation, which sounds great until you realize you’ll be juggling continuous experiments across markets with potentially opaque attribution and aggressive performance targets. The tools and scope are mainstream rather than flashy; the role is solid, not fashionable, with decent learning if you’re after practical marketing-data engineering rather than ML wizardry.
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.
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
@ agoda
JP | 2025-12-27
Agoda's Performance Marketing team offers a data-driven, experimentation-heavy role that blends analytics, modeling, and dashboards across search and display campaigns at a global scale. You’ll...
read more »
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
agoda
(JP) FULL TIME | JOB LISTED
Agoda's Performance Marketing team offers a data-driven, experimentation-heavy role that blends analytics, modeling, and dashboards across search and display campaigns at a global scale. You’ll work with a learning-curve-friendly stack that names SAS, R, SPSS, Python, VBA, SQL, Tableau, and Excel, plus A/B testing and ad-platform experimentation on Google, Bing, Baidu, Naver, and social networks. Fresh grads are welcome, which is a warning label in itself: expect close supervision and lots of guardrails, not a leap into data science autonomy. The role promises exposure to marketing mix modeling and dashboards for account managers, but the description skims over data pipelines, cloud tooling, data governance, and career ladders. Still, for a data pro chasing breadth in marketing tech, Agoda’s global footprint and diverse team are real advantages—just don’t expect instant salary clarity.
Agoda’s Performance Marketing role sits at the interface of analytics and campaign optimization, embedding you in a globally diverse team that runs experimentation across search and social...
read more »
Agoda’s Performance Marketing role sits at the interface of analytics and campaign optimization, embedding you in a globally diverse team that runs experimentation across search and social channels for a 4.7M-property network. The role is Bangkok-based and open to worldwide candidates, with a generous relocation package backed by Booking Holdings. You’ll model experiment data, build dashboards for account managers, and translate results into bidding and creative optimizations on Google, Bing, Baidu, Naver, Facebook, Instagram and friends. The toolkit spans Python, SQL, R or SAS, SPSS, Excel, VBA and Tableau, with R Studio and data modeling a plus. What stands out: scale, cross-channel exposure, and a clear path to impact. What stumbles: unclear on data engineering ownership, cloud vs on‑prem, and the absence of salary details. Also, broad ads exposure offers horizon, but risks narrowing focus away from core data engineering craft.
ZS’s Insights & Analytics role reads as a client-facing data science/analytics analyst slot with a life-sciences bent. You’ll develop and apply advanced statistical models and custom analyses in...
read more »
ZS’s Insights & Analytics role reads as a client-facing data science/analytics analyst slot with a life-sciences bent. You’ll develop and apply advanced statistical models and custom analyses in R, Tableau, SAS, Visual Basic and Excel to guide client decisions, then synthesize results for both client teams and ZS stakeholders. The tech stack leans heavily on Excel/VBA rather than modern cloud/data engineering tools, which can limit scale and speed. Strong quantitative training, plus bilingual (Japanese and English) communication and travel, are non-negotiables. On the upside, you’re steeped in rigorous problem solving, multi-project delivery, mentorship, and clear internal mobility paths. On the downside, the cadence of client work and travel can erode time for deep technical work, and the role’s tooling gaps may frustrate pure data engineers seeking a modern stack. It’s solid for consulting with a data flavor, less so for pure engineering.
ZS sells itself as a people-first analytics shop, and this role reads as a client-facing analytics analyst–heavy position with real consulting wear. You derive answers from data, shape the...
read more »
ZS sells itself as a people-first analytics shop, and this role reads as a client-facing analytics analyst–heavy position with real consulting wear. You derive answers from data, shape the questions with clients, and present business-focused results—great for impact, if you like multidisciplinary juggling and travel. The tech ask is R, SAS, Tableau and VBA; little to no emphasis on modern data engineering or cloud pipelines, so it’s more analytics consulting than a scalable data platform role. Requirements skew toward MBA/PhD or long analytic pedigree, plus strong written/spoken English and Japanese for senior stakeholder work. Travel is a constant, work arrangement is flexible, and internal mobility promises growth—none of it sounds revolutionary, but it’s solid if your aim is client delivery rather than building data infrastructure. Intermediary? No. Salary details? Not disclosed.
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.
Visa markets itself as a payments and tech titan; the VCA Senior Sales Manager role is essentially enterprise hunter-grounded in data solutions, tasked with growing non-traditional...
read more »
Visa markets itself as a payments and tech titan; the VCA Senior Sales Manager role is essentially enterprise hunter-grounded in data solutions, tasked with growing non-traditional clients—merchants, governments, advertisers—by translating analytics into revenue. The requirements read like a marathon: 10 years in B2B tech or analytics sales, end-to-end deal closure, cross-functional leadership, and fluency in Japanese plus English. You’ll collaborate with consultants, data scientists, and cross-functional teams, forecast revenue in Visa’s own tools, and rely on events and resellers to seed the pipeline. The opportunity is real: exposure to global institutions and large-scale platforms; the downside is the halo of being an industry leader that rarely translates into simple, well-compensated sales quotas. The lack of explicit salary and clearly defined tech stack leaves a vagueness that tech folks will notice; APIs and platforms are hinted, not proven.
Senior Data Analyst (Marketing Analytics, Bangkok Based, Relocation provided)
agoda
(JP) FULL TIME | JOB LISTED
Agoda's Performance Marketing role is a data-first position that blends analytics, experimentation, and campaign optimization across search and social channels for a global hotel inventory. The tech stack is practical, if not glamorous: SAS, R, SPSS, Python, SQL, Tableau, and Excel with VBA for the odd automation, plus hands-on work with Google Ads, Bing, Baidu, Naver and social platforms. The candidate needs 4-5 years of quantitative experience, a strong degree in a quantitative field, advanced statistics, and the ability to lead A/B tests, build predictive or attribution models, and deliver dashboards that actually move spend and channel mix. It’s a senior, global role in a large, diverse org with scale and visibility, yet the day-to-day can feel routine if management wants dashboards over experiments. Salary isn't disclosed; posting spans many cities, which helps mobility but dilutes focus.
Data Analyst (Bangkok Based, relocation provided)
agoda
(JP) FULL TIME | JOB LISTED
Agoda's Bangkok-based Performance Marketing role blends analytics with live campaign optimization. Expect 2–3 years in quantitative work, a degree in math-ish fields, strong stats, and hands-on SQL, Python, Excel, and a suite like SAS, R, SPSS, VBA, Tableau. You’ll design and analyze A/B tests, build models for bid and creative optimization, and deliver dashboards for account managers across Google, Bing, Baidu, Naver and social platforms. The job advert promises global reach, diverse team, generous relocation, and a culture of experimentation, which sounds great until you realize you’ll be juggling continuous experiments across markets with potentially opaque attribution and aggressive performance targets. The tools and scope are mainstream rather than flashy; the role is solid, not fashionable, with decent learning if you’re after practical marketing-data engineering rather than ML wizardry.
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
agoda
(JP) FULL TIME | JOB LISTED
Agoda's Performance Marketing team offers a data-driven, experimentation-heavy role that blends analytics, modeling, and dashboards across search and display campaigns at a global scale. You’ll work with a learning-curve-friendly stack that names SAS, R, SPSS, Python, VBA, SQL, Tableau, and Excel, plus A/B testing and ad-platform experimentation on Google, Bing, Baidu, Naver, and social networks. Fresh grads are welcome, which is a warning label in itself: expect close supervision and lots of guardrails, not a leap into data science autonomy. The role promises exposure to marketing mix modeling and dashboards for account managers, but the description skims over data pipelines, cloud tooling, data governance, and career ladders. Still, for a data pro chasing breadth in marketing tech, Agoda’s global footprint and diverse team are real advantages—just don’t expect instant salary clarity.
Agoda’s Performance Marketing role sits at the interface of analytics and campaign optimization, embedding you in a globally diverse team that runs experimentation across search and social channels for a 4.7M-property network. The role is Bangkok-based and open to worldwide candidates, with a generous relocation package backed by Booking Holdings. You’ll model experiment data, build dashboards for account managers, and translate results into bidding and creative optimizations on Google, Bing, Baidu, Naver, Facebook, Instagram and friends. The toolkit spans Python, SQL, R or SAS, SPSS, Excel, VBA and Tableau, with R Studio and data modeling a plus. What stands out: scale, cross-channel exposure, and a clear path to impact. What stumbles: unclear on data engineering ownership, cloud vs on‑prem, and the absence of salary details. Also, broad ads exposure offers horizon, but risks narrowing focus away from core data engineering craft.
ZS’s Insights & Analytics role reads as a client-facing data science/analytics analyst slot with a life-sciences bent. You’ll develop and apply advanced statistical models and custom analyses in R, Tableau, SAS, Visual Basic and Excel to guide client decisions, then synthesize results for both client teams and ZS stakeholders. The tech stack leans heavily on Excel/VBA rather than modern cloud/data engineering tools, which can limit scale and speed. Strong quantitative training, plus bilingual (Japanese and English) communication and travel, are non-negotiables. On the upside, you’re steeped in rigorous problem solving, multi-project delivery, mentorship, and clear internal mobility paths. On the downside, the cadence of client work and travel can erode time for deep technical work, and the role’s tooling gaps may frustrate pure data engineers seeking a modern stack. It’s solid for consulting with a data flavor, less so for pure engineering.
ZS sells itself as a people-first analytics shop, and this role reads as a client-facing analytics analyst–heavy position with real consulting wear. You derive answers from data, shape the questions with clients, and present business-focused results—great for impact, if you like multidisciplinary juggling and travel. The tech ask is R, SAS, Tableau and VBA; little to no emphasis on modern data engineering or cloud pipelines, so it’s more analytics consulting than a scalable data platform role. Requirements skew toward MBA/PhD or long analytic pedigree, plus strong written/spoken English and Japanese for senior stakeholder work. Travel is a constant, work arrangement is flexible, and internal mobility promises growth—none of it sounds revolutionary, but it’s solid if your aim is client delivery rather than building data infrastructure. Intermediary? No. Salary details? Not disclosed.
Visa markets itself as a payments and tech titan; the VCA Senior Sales Manager role is essentially enterprise hunter-grounded in data solutions, tasked with growing non-traditional clients—merchants, governments, advertisers—by translating analytics into revenue. The requirements read like a marathon: 10 years in B2B tech or analytics sales, end-to-end deal closure, cross-functional leadership, and fluency in Japanese plus English. You’ll collaborate with consultants, data scientists, and cross-functional teams, forecast revenue in Visa’s own tools, and rely on events and resellers to seed the pipeline. The opportunity is real: exposure to global institutions and large-scale platforms; the downside is the halo of being an industry leader that rarely translates into simple, well-compensated sales quotas. The lack of explicit salary and clearly defined tech stack leaves a vagueness that tech folks will notice; APIs and platforms are hinted, not proven.
