Territory Management and Sales Incentive Analyst
@ sartorius
SG | 2025-12-28
At Sartorius, the Territory Management & Incentive Compensation Analyst wears the data hat across global sales, shaping equitable territories, automated payout calculations, and governance of...
read more »
Territory Management and Sales Incentive Analyst
sartorius
(SG) FULL TIME | JOB LISTED
At Sartorius, the Territory Management & Incentive Compensation Analyst wears the data hat across global sales, shaping equitable territories, automated payout calculations, and governance of quality controls. The role marries SQL, Python, and analytics with SAP BW/HANA, Snowflake, and Tableau to model scenarios, monitor KPIs, and automate data pipelines, while coordinating with Sales, HR, Finance, IT, and the Workers’ Council. What stands out is genuine cross-functional impact—how incentive plans tie to real revenue, not buzzwords—paired with a strong emphasis on data quality and audit readiness. It’s less a pure engineering fix and more a governance-heavy analytics engineer position in a life-sciences giant listed on the DAX. The downside: heavy stakeholder management, potential process drag, and no salary detail in the posting; good operators will relish the optimization grind.
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.
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...
Senior Manager, Insights and Architecture (2-years contract)
@ singaporepools
SG | 2025-12-25
Senior Manager, Insights & Analytics at a Singapore-based, not-for-profit government-linked outfit (Singapore Pools/Tote Board) promises to build data analytics capabilities from the ground up,...
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Senior Manager, Insights and Architecture (2-years contract)
singaporepools
(SG) CONTRACT | JOB LISTED
Senior Manager, Insights & Analytics at a Singapore-based, not-for-profit government-linked outfit (Singapore Pools/Tote Board) promises to build data analytics capabilities from the ground up, orchestrating data from a data lake and data warehouse, designing dashboards and management reports, and steering governance and policy across the data stack. The role demands 8+ years in data analytics, SQL, Excel modelling, and experience leading a team, with Tableau and other BI tools for visual storytelling. Expect heavy stakeholder management, periodic data policy reviews, and alignment of data architecture with business strategy. The hurdles are real: bureaucratic IT policies, ambiguous requirements, and the tension between governance and speed. It stands out for governance-led data strategy and architecture emphasis, but the tech stack reads as traditional rather than cutting-edge.
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.
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,...
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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.
Territory Management and Sales Incentive Analyst
sartorius
(SG) FULL TIME | JOB LISTED
At Sartorius, the Territory Management & Incentive Compensation Analyst wears the data hat across global sales, shaping equitable territories, automated payout calculations, and governance of quality controls. The role marries SQL, Python, and analytics with SAP BW/HANA, Snowflake, and Tableau to model scenarios, monitor KPIs, and automate data pipelines, while coordinating with Sales, HR, Finance, IT, and the Workers’ Council. What stands out is genuine cross-functional impact—how incentive plans tie to real revenue, not buzzwords—paired with a strong emphasis on data quality and audit readiness. It’s less a pure engineering fix and more a governance-heavy analytics engineer position in a life-sciences giant listed on the DAX. The downside: heavy stakeholder management, potential process drag, and no salary detail in the posting; good operators will relish the optimization grind.
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.
Senior Manager, Insights and Architecture (2-years contract)
singaporepools
(SG) CONTRACT | JOB LISTED
Senior Manager, Insights & Analytics at a Singapore-based, not-for-profit government-linked outfit (Singapore Pools/Tote Board) promises to build data analytics capabilities from the ground up, orchestrating data from a data lake and data warehouse, designing dashboards and management reports, and steering governance and policy across the data stack. The role demands 8+ years in data analytics, SQL, Excel modelling, and experience leading a team, with Tableau and other BI tools for visual storytelling. Expect heavy stakeholder management, periodic data policy reviews, and alignment of data architecture with business strategy. The hurdles are real: bureaucratic IT policies, ambiguous requirements, and the tension between governance and speed. It stands out for governance-led data strategy and architecture emphasis, but the tech stack reads as traditional rather than cutting-edge.
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.
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.
