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.
PwC Japan's GRC advisory posting reads as a data-leaning consulting role with a risk-and-compliance spine. Core work is analyzing regulatory and governance challenges for financial institutions,...
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PwC Japan's GRC advisory posting reads as a data-leaning consulting role with a risk-and-compliance spine. Core work is analyzing regulatory and governance challenges for financial institutions, defining upstream business requirements, and steering analytics initiatives and PoCs that translate policy into practice. The team markets deep GRC expertise and access to PwC’s global network, promising breadth of knowledge and cross-border support. For data pros, the explicit tech signals are Python, R, VBA, Java, C, SQL, plus statistics and machine learning know-how, with a willingness to train in adjacent domains. Tokyo-based, English is a welcome asset and Japanese fluency appears practical. Opportunities lie in shaping analytics tooling inside a blue-chip advisory firm; risks include a heavy client-facing, regulatory-focused environment, potential ambiguity between hands-on data work and high-level advisory, and long-horizon delivery cycles.
The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...
Data Analytics & Master Data Management｜データ分析＆マスターデータ管理
@ persol-career-brs
JP | 2025-12-28
| JPY
6000000 - 8000000
/ year
Data Analytics & Master Data Management in Tokyo for a US medical devices giant; the role centers on master data operations, process improvement, and service-level gains across the supply chain....
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Data Analytics & Master Data Management in Tokyo for a US medical devices giant; the role centers on master data operations, process improvement, and service-level gains across the supply chain. You'll own MDM, automate and standardize workflows, and transform data from Excel analyses and ERP data into actionable improvements. Business English is a must; you'll handle ABC analyses, root-cause investigations, and ERP-extracted data with VBA and Access, plus Power BI for reporting and RPA for automation. Lean Six Sigma knowledge helps. The tech stack skews legacy-heavy: Excel, VBA, Access with Power BI; ERP is core; cloud platforms are absent. Salary 6-8M JPY in Tokyo; intermediary recruiter. The company touts World’s Best Workplace; take with a grain of salt. This is a governance-and-optimization role, not a leap into modern data engineering; good for global exposure, questionable for tech-stack modernity.
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.
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.
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.
RGA’s machine learning engineer role pledges to design and validate predictive and prescriptive models for life and health, plus AI solutions for internal and APAC clients. It stacks GLM, time...
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RGA’s machine learning engineer role pledges to design and validate predictive and prescriptive models for life and health, plus AI solutions for internal and APAC clients. It stacks GLM, time series, clustering, deep learning with GEN AI toolchains: LLMs, RAG, LangChain, LangGraph, OpenAI, HuggingFace, Bedrock; plus MLOps, versioning, monitoring, and governance. It demands 10+ years in data analytics in life/health, advanced degrees, and strong coding (R, Python) with SQL/VBA and actuarial know‑how, plus business fluency and even Japanese. The scope includes data prep, visualization, stakeholder storytelling, and coaching juniors, with a strong bias toward cross‑market tool reuse. The hype around AI promises frontier impact, but the core is still risk modeling and client work—be prepared for a long ladder, high expectations, and a lot of bureaucracy.
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...
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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.
AI Project Manager / Producer, Commerce & Marketing Consulting Section - AI & Data Consulting Department (AIDC)
@ rakuten
JP | 2025-12-24
This role is a strategic opportunity for a data engineer or data scientist with experience in managing AI projects and driving data-driven solutions. The position requires a blend of technical...
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AI Project Manager / Producer, Commerce & Marketing Consulting Section - AI & Data Consulting Department (AIDC)
rakuten
(JP) FULL TIME | JOB LISTED
This role is a strategic opportunity for a data engineer or data scientist with experience in managing AI projects and driving data-driven solutions. The position requires a blend of technical skills in data analysis, machine learning, and project management, with a focus on leveraging data to support business growth. The role involves working with multiple departments and stakeholders, and the opportunity to collaborate with a global team. The responsibilities include proposing and implementing data-driven initiatives, managing projects, and standardizing data practices. The job is not explicitly stated to be an intermediary position, and the salary range is not provided.
Rewards Data Intelligence, Lead Associate - Tokyo
@ wtwcorporate
JP | 2025-12-24
Willis Towers Watson advertises a rewards data intelligence associate who turns compensation data into client-ready insights across global and APAC markets. Essential skills lean on business...
read more »
Rewards Data Intelligence, Lead Associate - Tokyo
wtwcorporate
(JP) FULL TIME | JOB LISTED
Willis Towers Watson advertises a rewards data intelligence associate who turns compensation data into client-ready insights across global and APAC markets. Essential skills lean on business English and native Japanese, plus heavy Excel—VLOOKUP and Pivot are the baseline, VBA optional, with Python or R listed as desirable. The role blends analysis with marketing and client management: analyze survey data, produce reports, run seminars, market recruitment benchmarks, and support web survey tools. It promises flexible work styles (Remote/Hybrid/Office) and a global team, but the core toolkit remains spreadsheet-heavy rather than scalable data platforms. The opportunity to influence client remuneration strategy is real, yet advancement likely hinges on moving beyond Excel into automation, SQL, and more robust data tooling, otherwise you’re a specialist with a pretty bounded ceiling in a traditional consulting-adjacent role.
Rewards Data Intelligence, Associate
@ wtwcorporate
JP | 2025-12-23
WTW’s Rewards Data Intelligence role sits at the data‑to‑decision edge of HR, tasked with designing a rewards database and turning survey data into client‑ready insight for a global mix of...
read more »
WTW’s Rewards Data Intelligence role sits at the data‑to‑decision edge of HR, tasked with designing a rewards database and turning survey data into client‑ready insight for a global mix of Japanese and multinational clients. You’ll analyze results, build reports, run seminars, and market surveys while supporting compensation strategy across regions, workforce planning, and diversity initiatives. Essentials: a degree, business‑level English, native Japanese, and strong Excel (VLOOKUP, Pivot) with VBA as a bonus; Python or R on the desirable side. The work arrangement is modern—New Work Style with remote, hybrid, or office options and flex time. What stands out is the blend of data engineering groundwork with client‑facing analytics in a niche HR domain; what’s worrying is the Excel‑centric toolkit and the absence of salary transparency, which hints at classic consulting constraints.
Controls System Engineer, AMZL JP Engineering
@ amazon
JP | 2025-12-22
The Japan Amazon Logistics team seeks a Control Systems Engineer with over five years of experience in manufacturing or engineering roles, to develop and troubleshoot control systems for...
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Controls System Engineer, AMZL JP Engineering
amazon
(JP) FULL TIME | JOB LISTED
The Japan Amazon Logistics team seeks a Control Systems Engineer with over five years of experience in manufacturing or engineering roles, to develop and troubleshoot control systems for mechanical equipment, including network-connected components. A notable differentiator is the emphasis on collaboration with international partners and implementing new control technologies. The primary risk involves managing complex stakeholder communications and ensuring system stability amidst international coordination; the role also involves project management, system improvement, and tech research. Salary details are not provided.
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.
PwC Japan's GRC advisory posting reads as a data-leaning consulting role with a risk-and-compliance spine. Core work is analyzing regulatory and governance challenges for financial institutions, defining upstream business requirements, and steering analytics initiatives and PoCs that translate policy into practice. The team markets deep GRC expertise and access to PwC’s global network, promising breadth of knowledge and cross-border support. For data pros, the explicit tech signals are Python, R, VBA, Java, C, SQL, plus statistics and machine learning know-how, with a willingness to train in adjacent domains. Tokyo-based, English is a welcome asset and Japanese fluency appears practical. Opportunities lie in shaping analytics tooling inside a blue-chip advisory firm; risks include a heavy client-facing, regulatory-focused environment, potential ambiguity between hands-on data work and high-level advisory, and long-horizon delivery cycles.
Data Analytics & Master Data Management in Tokyo for a US medical devices giant; the role centers on master data operations, process improvement, and service-level gains across the supply chain. You'll own MDM, automate and standardize workflows, and transform data from Excel analyses and ERP data into actionable improvements. Business English is a must; you'll handle ABC analyses, root-cause investigations, and ERP-extracted data with VBA and Access, plus Power BI for reporting and RPA for automation. Lean Six Sigma knowledge helps. The tech stack skews legacy-heavy: Excel, VBA, Access with Power BI; ERP is core; cloud platforms are absent. Salary 6-8M JPY in Tokyo; intermediary recruiter. The company touts World’s Best Workplace; take with a grain of salt. This is a governance-and-optimization role, not a leap into modern data engineering; good for global exposure, questionable for tech-stack modernity.
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.
RGA’s machine learning engineer role pledges to design and validate predictive and prescriptive models for life and health, plus AI solutions for internal and APAC clients. It stacks GLM, time series, clustering, deep learning with GEN AI toolchains: LLMs, RAG, LangChain, LangGraph, OpenAI, HuggingFace, Bedrock; plus MLOps, versioning, monitoring, and governance. It demands 10+ years in data analytics in life/health, advanced degrees, and strong coding (R, Python) with SQL/VBA and actuarial know‑how, plus business fluency and even Japanese. The scope includes data prep, visualization, stakeholder storytelling, and coaching juniors, with a strong bias toward cross‑market tool reuse. The hype around AI promises frontier impact, but the core is still risk modeling and client work—be prepared for a long ladder, high expectations, and a lot of bureaucracy.
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.
AI Project Manager / Producer, Commerce & Marketing Consulting Section - AI & Data Consulting Department (AIDC)
rakuten
(JP) FULL TIME | JOB LISTED
This role is a strategic opportunity for a data engineer or data scientist with experience in managing AI projects and driving data-driven solutions. The position requires a blend of technical skills in data analysis, machine learning, and project management, with a focus on leveraging data to support business growth. The role involves working with multiple departments and stakeholders, and the opportunity to collaborate with a global team. The responsibilities include proposing and implementing data-driven initiatives, managing projects, and standardizing data practices. The job is not explicitly stated to be an intermediary position, and the salary range is not provided.
Rewards Data Intelligence, Lead Associate - Tokyo
wtwcorporate
(JP) FULL TIME | JOB LISTED
Willis Towers Watson advertises a rewards data intelligence associate who turns compensation data into client-ready insights across global and APAC markets. Essential skills lean on business English and native Japanese, plus heavy Excel—VLOOKUP and Pivot are the baseline, VBA optional, with Python or R listed as desirable. The role blends analysis with marketing and client management: analyze survey data, produce reports, run seminars, market recruitment benchmarks, and support web survey tools. It promises flexible work styles (Remote/Hybrid/Office) and a global team, but the core toolkit remains spreadsheet-heavy rather than scalable data platforms. The opportunity to influence client remuneration strategy is real, yet advancement likely hinges on moving beyond Excel into automation, SQL, and more robust data tooling, otherwise you’re a specialist with a pretty bounded ceiling in a traditional consulting-adjacent role.
WTW’s Rewards Data Intelligence role sits at the data‑to‑decision edge of HR, tasked with designing a rewards database and turning survey data into client‑ready insight for a global mix of Japanese and multinational clients. You’ll analyze results, build reports, run seminars, and market surveys while supporting compensation strategy across regions, workforce planning, and diversity initiatives. Essentials: a degree, business‑level English, native Japanese, and strong Excel (VLOOKUP, Pivot) with VBA as a bonus; Python or R on the desirable side. The work arrangement is modern—New Work Style with remote, hybrid, or office options and flex time. What stands out is the blend of data engineering groundwork with client‑facing analytics in a niche HR domain; what’s worrying is the Excel‑centric toolkit and the absence of salary transparency, which hints at classic consulting constraints.
Controls System Engineer, AMZL JP Engineering
amazon
(JP) FULL TIME | JOB LISTED
The Japan Amazon Logistics team seeks a Control Systems Engineer with over five years of experience in manufacturing or engineering roles, to develop and troubleshoot control systems for mechanical equipment, including network-connected components. A notable differentiator is the emphasis on collaboration with international partners and implementing new control technologies. The primary risk involves managing complex stakeholder communications and ensuring system stability amidst international coordination; the role also involves project management, system improvement, and tech research. Salary details are not provided.
