Senior Business Analyst, Supply Chain Technology
@ resmed
SG | 2025-12-29
Global Technology Solutions at ResMed promises a Senior Business Analyst role that walks the tightrope between business strategy and technical delivery in the Supply Chain. You’ll translate...
read more »
Senior Business Analyst, Supply Chain Technology
resmed
(SG) FULL TIME | JOB LISTED
Global Technology Solutions at ResMed promises a Senior Business Analyst role that walks the tightrope between business strategy and technical delivery in the Supply Chain. You’ll translate shop-floor automation ambitions—AGVs, AMRs, automated storage and retrieval systems—into scalable digital solutions, defining requirements, user stories, and roadmaps while shepherding vendors and partners through complex integrations. The job blends manufacturing domain know-how with agile practices, governance, and security/compliance considerations across a global footprint. What stands out is real exposure to ERP/MES and warehouse automation, plus greenfield factory projects and enterprise-system onboarding. What’s risky: the description reads like a toolkit checklist rather than a crisp mandate, and success hinges on political savvy, cross-functional diplomacy, and disciplined scoping in a highly regulated industry. It’s a solid, practitioner-leaning BA role that rewards practical automation know-how over buzzwords.
Role centers on designing, building, and maintaining cloud-based data pipelines for a fast-growing payments environment. You will partner with data analysts, product teams, and business...
read more »
Role centers on designing, building, and maintaining cloud-based data pipelines for a fast-growing payments environment. You will partner with data analysts, product teams, and business stakeholders to ensure high-quality, reliable data drives decisions. The stack is cloud-first, with GCP and BigQuery, plus Hadoop, Spark, and Hive for legacy workloads. You will design ETL pipelines, data models, and integration processes to support reporting and analytics across large, cross-border datasets. The pitch promises scale and reliability, but the description omits governance, security, observability, and real data quality discipline. Core requirements are strong SQL and at least one of Python, Java, or Scala, plus experience with ETL frameworks and data warehousing. It sits at the analytics-engineering seam; whether that is a strength or buzzword fluff depends on how concrete the project scope proves to be in practice.
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.
This role oversees sales strategy and planning within APAC, blending analytical expertise with business acumen, and requires managing a team to provide data-driven insights for revenue growth. A...
read more »
This role oversees sales strategy and planning within APAC, blending analytical expertise with business acumen, and requires managing a team to provide data-driven insights for revenue growth. A key differentiator is the regional focus and cross-functional collaboration; a risk is the reliance on forecasting accuracy amid diverse markets. Salary details are not specified.
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world...
read more »
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world patient outcomes on the line. The technical bar is high: Python, SQL, R; dashboards (Tableau/Power BI/TIBCO); Databricks on AWS; Docker/Kubernetes; REST APIs with FastAPI; Streamlit and Next.js front ends; Git CI/CD; and hands-on work with LLMs for care-pathway optimization. Data governance and PDPA/HBRA compliance sit alongside rapid prototyping, so you’ll trade glittering experiments for robust production pipelines and audits. The upside: meaningful impact, exposure to enterprise healthcare data, leadership experience. The caveat: bureaucratic cycles, security requirements, and the usual healthcare procurement friction. In short, a credible blend of AI-in-healthcare with real-world constraints, not a hype-driven data science gig.
Project Manager - Data analytics implementation (Engineering)
@ synapxe
SG | 2025-12-25
Senior project manager oversees complex analytics and AI programs within the healthcare sector, emphasizing stakeholder management and risk mitigation, with a notable edge being experience in...
read more »
Project Manager - Data analytics implementation (Engineering)
synapxe
(SG) FULL TIME | JOB LISTED
Senior project manager oversees complex analytics and AI programs within the healthcare sector, emphasizing stakeholder management and risk mitigation, with a notable edge being experience in government or healthcare domains; a key risk involves navigating compliance and procurement policies. Salary details are not provided. The role requires tools and technologies related to data management, business intelligence, and analytics tools, and is classified as a chief position. It is not described as intermediary.
Circles invites a six-month Marketing Graduate Intern to support thought leadership, CXO events, ABM, webinars, social, internal comms, and data-driven reporting across a fast-paced, global B2B...
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Circles invites a six-month Marketing Graduate Intern to support thought leadership, CXO events, ABM, webinars, social, internal comms, and data-driven reporting across a fast-paced, global B2B SaaS and telco stack. The role promises broad exposure to executive engagement and go-to-market operations, with hands-on work in databases, dashboards, and process automation. The tech footprint is modest: Google Workspace, Excel, Canva, HubSpot, plus basic analytics and reporting tooling; there’s real-world value, but not a data-engineering or advanced analytics track. Risks include a vague pathway to full-time roles, potential low compensation, and the risk that 'data management' is more about hygiene than insight. For candidates, it’s a pragmatic entry into Circles’ multi-brand, investor-backed platform, but not a technical tour de force—more operational sprint than data-driven rocket science.
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...
This position at Deloitte's Artificial Intelligence & Data team in Singapore is ideal for fresh graduates or recent entrants looking to build a technical foundation in data engineering amidst an...
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This position at Deloitte's Artificial Intelligence & Data team in Singapore is ideal for fresh graduates or recent entrants looking to build a technical foundation in data engineering amidst an avalanche of corporate flummery. Candidates will wield SQL, Oracle, and an assortment of Big Data tools while navigating data integration complexities. The promise of working with industry giants might be enticing, but the reality of rampant buzzword usage—'cognitive technologies'—raises eyebrows. With a focus on emerging technologies, the role offers genuine opportunities for growth and learning, assuming you can survive the inevitable bureaucratic layers. The requirement for knowledge in AI, ML, and various development methodologies indicates a demanding expectations set, which, combined with a sprinkle of empty panegyrics, might leave you levelling up your coffee consumption just to stay afloat.
Singapore Airlines is hunting a seasoned data architect/engineer to own data cleansing, migration, and analytics in a broad SAP-centric stack tied to a S/4HANA implementation and a corporate data...
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Singapore Airlines is hunting a seasoned data architect/engineer to own data cleansing, migration, and analytics in a broad SAP-centric stack tied to a S/4HANA implementation and a corporate data lake. Expect heavy SAP work: S/4HANA analytics, BW/4HANA, BW on HANA, and SAP Analytics Cloud, with DWC and BW Bridge as connective tissue; ETL through SDI and Data Services; native HANA modeling; and connections to SuccessFactors, Ariba, and Concur, plus AWS S3/Redshift and Tableau for visualization. The role is an individual contributor but mission-critical: define the analytics architecture, vet platforms, and drive delivery with internal and external teams. Good fit for someone who likes end-to-end project life cycles and governance in a large enterprise, but beware the SAP-first constraint, scope creep, and a potentially protracted migration path before any payoff shows.
KLA seeks a data analyst supporting global operations by gathering and interpreting operational data to identify trends and inefficiencies, with a notable focus on data visualization using Power...
read more »
As an entry role at Logicalis, you’ll develop Power BI dashboards, automate data collection with Power Automate and Power Apps, and translate stakeholder needs into actionable metrics across ERP,...
read more »
As an entry role at Logicalis, you’ll develop Power BI dashboards, automate data collection with Power Automate and Power Apps, and translate stakeholder needs into actionable metrics across ERP, CRM, and ITSM touchpoints. The upside is hands-on visibility into governance, data quality, and the practicalities of digital transformation within a services firm that brands itself as Architects of Change. The caveats are real: this is heavy on BI and MS-stack tooling, with limited evidence of scalable data engineering, cloud-native pipelines, or production-ready data platforms. Success hinges on mastering DAX, SQL, and the Power Platform, plus solid stakeholder communication, not on cutting-edge ML or big data. Logicalis’ brand refresh signals growth, but the role may underdeliver for those seeking deep data engineering or independent impact outside governance-heavy projects.
A Data Analyst role supporting commercial teams in the accommodation sector, requiring technical skills, leadership, and industry insight. The unique focus on supply commercial optimization sets...
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A Data Analyst role supporting commercial teams in the accommodation sector, requiring technical skills, leadership, and industry insight. The unique focus on supply commercial optimization sets it apart, but an inherent risk involves potential challenges in translating complex data into business value effectively.
This role is positioned as a graduate intern at Dell Technologies’ Global Supply Chain Nerve Center, with a focus on supply chain planning, governance, and optimization. The position requires...
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This role is positioned as a graduate intern at Dell Technologies’ Global Supply Chain Nerve Center, with a focus on supply chain planning, governance, and optimization. The position requires strong analytical skills, data interpretation, and cross-functional collaboration, with a focus on digital transformation and automation. While the role offers opportunities to work on cutting-edge supply chain initiatives and contribute to impactful projects, the emphasis on external research and technical proficiency (e.g., Excel, SQL, Power BI) may not fully align with the applicant’s background. The job is not explicitly salaried, and the description lacks clear salary bounds. The role stands out for its technical depth and potential for professional growth, but its execution may be constrained by the need for external research and the limited scope of the internship. The company’s commitment to diversity and inclusion is noted, but the role’s structure and expectations may not fully align with the applicant’s career goals.
Senior Business Analyst - Anti Money Laundering (AML)
@ bnp-paribas
SG | 2025-12-21
BNP Paribas hires a Senior Business Analyst to own AML/compliance analysis as Wealth Management migrates NetReveal from 7.4 to 8.4 and stitches a multi-country, multi-currency convergence platform...
read more »
Senior Business Analyst - Anti Money Laundering (AML)
bnp-paribas
(SG) FULL TIME | JOB LISTED
BNP Paribas hires a Senior Business Analyst to own AML/compliance analysis as Wealth Management migrates NetReveal from 7.4 to 8.4 and stitches a multi-country, multi-currency convergence platform into Temenos’ core banking landscape. The role sits at the crossroad of business requirements, governance, and vendor management, acting as IT stream lead for the Compliance division in the global WITT program. Expect to run workshops, craft functional specs and use cases, coordinate UAT, and align European and Asian sites around a common design while tracking risks and benefits. Technically you’ll lean on SQL and Oracle for data analysis, and on PM tools, JIRA, ServiceNow, and Office productivity for communication; API/cloud awareness is a plus. It’s high visibility, high ambiguity, and substantial governance—the job’s natural habitat—with limited hands-on coding but real exposure to enterprise data flows and AML rules.
Senior Business Analyst, Supply Chain Technology
resmed
(SG) FULL TIME | JOB LISTED
Global Technology Solutions at ResMed promises a Senior Business Analyst role that walks the tightrope between business strategy and technical delivery in the Supply Chain. You’ll translate shop-floor automation ambitions—AGVs, AMRs, automated storage and retrieval systems—into scalable digital solutions, defining requirements, user stories, and roadmaps while shepherding vendors and partners through complex integrations. The job blends manufacturing domain know-how with agile practices, governance, and security/compliance considerations across a global footprint. What stands out is real exposure to ERP/MES and warehouse automation, plus greenfield factory projects and enterprise-system onboarding. What’s risky: the description reads like a toolkit checklist rather than a crisp mandate, and success hinges on political savvy, cross-functional diplomacy, and disciplined scoping in a highly regulated industry. It’s a solid, practitioner-leaning BA role that rewards practical automation know-how over buzzwords.
Role centers on designing, building, and maintaining cloud-based data pipelines for a fast-growing payments environment. You will partner with data analysts, product teams, and business stakeholders to ensure high-quality, reliable data drives decisions. The stack is cloud-first, with GCP and BigQuery, plus Hadoop, Spark, and Hive for legacy workloads. You will design ETL pipelines, data models, and integration processes to support reporting and analytics across large, cross-border datasets. The pitch promises scale and reliability, but the description omits governance, security, observability, and real data quality discipline. Core requirements are strong SQL and at least one of Python, Java, or Scala, plus experience with ETL frameworks and data warehousing. It sits at the analytics-engineering seam; whether that is a strength or buzzword fluff depends on how concrete the project scope proves to be in practice.
This role oversees sales strategy and planning within APAC, blending analytical expertise with business acumen, and requires managing a team to provide data-driven insights for revenue growth. A key differentiator is the regional focus and cross-functional collaboration; a risk is the reliance on forecasting accuracy amid diverse markets. Salary details are not specified.
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world patient outcomes on the line. The technical bar is high: Python, SQL, R; dashboards (Tableau/Power BI/TIBCO); Databricks on AWS; Docker/Kubernetes; REST APIs with FastAPI; Streamlit and Next.js front ends; Git CI/CD; and hands-on work with LLMs for care-pathway optimization. Data governance and PDPA/HBRA compliance sit alongside rapid prototyping, so you’ll trade glittering experiments for robust production pipelines and audits. The upside: meaningful impact, exposure to enterprise healthcare data, leadership experience. The caveat: bureaucratic cycles, security requirements, and the usual healthcare procurement friction. In short, a credible blend of AI-in-healthcare with real-world constraints, not a hype-driven data science gig.
Project Manager - Data analytics implementation (Engineering)
synapxe
(SG) FULL TIME | JOB LISTED
Senior project manager oversees complex analytics and AI programs within the healthcare sector, emphasizing stakeholder management and risk mitigation, with a notable edge being experience in government or healthcare domains; a key risk involves navigating compliance and procurement policies. Salary details are not provided. The role requires tools and technologies related to data management, business intelligence, and analytics tools, and is classified as a chief position. It is not described as intermediary.
Circles invites a six-month Marketing Graduate Intern to support thought leadership, CXO events, ABM, webinars, social, internal comms, and data-driven reporting across a fast-paced, global B2B SaaS and telco stack. The role promises broad exposure to executive engagement and go-to-market operations, with hands-on work in databases, dashboards, and process automation. The tech footprint is modest: Google Workspace, Excel, Canva, HubSpot, plus basic analytics and reporting tooling; there’s real-world value, but not a data-engineering or advanced analytics track. Risks include a vague pathway to full-time roles, potential low compensation, and the risk that 'data management' is more about hygiene than insight. For candidates, it’s a pragmatic entry into Circles’ multi-brand, investor-backed platform, but not a technical tour de force—more operational sprint than data-driven rocket science.
This position at Deloitte's Artificial Intelligence & Data team in Singapore is ideal for fresh graduates or recent entrants looking to build a technical foundation in data engineering amidst an avalanche of corporate flummery. Candidates will wield SQL, Oracle, and an assortment of Big Data tools while navigating data integration complexities. The promise of working with industry giants might be enticing, but the reality of rampant buzzword usage—'cognitive technologies'—raises eyebrows. With a focus on emerging technologies, the role offers genuine opportunities for growth and learning, assuming you can survive the inevitable bureaucratic layers. The requirement for knowledge in AI, ML, and various development methodologies indicates a demanding expectations set, which, combined with a sprinkle of empty panegyrics, might leave you levelling up your coffee consumption just to stay afloat.
Singapore Airlines is hunting a seasoned data architect/engineer to own data cleansing, migration, and analytics in a broad SAP-centric stack tied to a S/4HANA implementation and a corporate data lake. Expect heavy SAP work: S/4HANA analytics, BW/4HANA, BW on HANA, and SAP Analytics Cloud, with DWC and BW Bridge as connective tissue; ETL through SDI and Data Services; native HANA modeling; and connections to SuccessFactors, Ariba, and Concur, plus AWS S3/Redshift and Tableau for visualization. The role is an individual contributor but mission-critical: define the analytics architecture, vet platforms, and drive delivery with internal and external teams. Good fit for someone who likes end-to-end project life cycles and governance in a large enterprise, but beware the SAP-first constraint, scope creep, and a potentially protracted migration path before any payoff shows.
KLA seeks a data analyst supporting global operations by gathering and interpreting operational data to identify trends and inefficiencies, with a notable focus on data visualization using Power BI and Snowflake; the role’s primary risk is reliance on cross-functional collaboration, which could hinder project momentum if misaligned. A differentiator is their emphasis on innovation and R&D, setting them apart from typical data roles. No salary details are provided, leaving those parameters unspecified.
As an entry role at Logicalis, you’ll develop Power BI dashboards, automate data collection with Power Automate and Power Apps, and translate stakeholder needs into actionable metrics across ERP, CRM, and ITSM touchpoints. The upside is hands-on visibility into governance, data quality, and the practicalities of digital transformation within a services firm that brands itself as Architects of Change. The caveats are real: this is heavy on BI and MS-stack tooling, with limited evidence of scalable data engineering, cloud-native pipelines, or production-ready data platforms. Success hinges on mastering DAX, SQL, and the Power Platform, plus solid stakeholder communication, not on cutting-edge ML or big data. Logicalis’ brand refresh signals growth, but the role may underdeliver for those seeking deep data engineering or independent impact outside governance-heavy projects.
A Data Analyst role supporting commercial teams in the accommodation sector, requiring technical skills, leadership, and industry insight. The unique focus on supply commercial optimization sets it apart, but an inherent risk involves potential challenges in translating complex data into business value effectively.
This role is positioned as a graduate intern at Dell Technologies’ Global Supply Chain Nerve Center, with a focus on supply chain planning, governance, and optimization. The position requires strong analytical skills, data interpretation, and cross-functional collaboration, with a focus on digital transformation and automation. While the role offers opportunities to work on cutting-edge supply chain initiatives and contribute to impactful projects, the emphasis on external research and technical proficiency (e.g., Excel, SQL, Power BI) may not fully align with the applicant’s background. The job is not explicitly salaried, and the description lacks clear salary bounds. The role stands out for its technical depth and potential for professional growth, but its execution may be constrained by the need for external research and the limited scope of the internship. The company’s commitment to diversity and inclusion is noted, but the role’s structure and expectations may not fully align with the applicant’s career goals.
Senior Business Analyst - Anti Money Laundering (AML)
bnp-paribas
(SG) FULL TIME | JOB LISTED
BNP Paribas hires a Senior Business Analyst to own AML/compliance analysis as Wealth Management migrates NetReveal from 7.4 to 8.4 and stitches a multi-country, multi-currency convergence platform into Temenos’ core banking landscape. The role sits at the crossroad of business requirements, governance, and vendor management, acting as IT stream lead for the Compliance division in the global WITT program. Expect to run workshops, craft functional specs and use cases, coordinate UAT, and align European and Asian sites around a common design while tracking risks and benefits. Technically you’ll lean on SQL and Oracle for data analysis, and on PM tools, JIRA, ServiceNow, and Office productivity for communication; API/cloud awareness is a plus. It’s high visibility, high ambiguity, and substantial governance—the job’s natural habitat—with limited hands-on coding but real exposure to enterprise data flows and AML rules.
