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.
Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is...
read more »
Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is Azure‑heavy: Data Factory, Data Lake Storage, App Service, Azure SQL, plus CI/CD via Azure DevOps, and a mandate to deploy ML in production. On the data side you’ll design relational, NoSQL, and big‑data pipelines using Python, SSIS or Informatica IPC, with scraping tools like BeautifulSoup or Scrapy and dashboards in Power BI. The workload spans data quality, governance, and security while optimizing cost and performance. Requirements demand 2–3 years of data engineering or software experience, solid communication, and self‑start energy, which is ambitious given the breadth. It’s a full‑stack data role in a market that values specialization; beware the scope creep and vendor hype.
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.
Infineon’s Strategy and Market Development unit seeks interns to blend desk and field research across Asia-Pacific, collecting, cleaning, and analyzing data to feed pragmatic insights and...
read more »
Infineon’s Strategy and Market Development unit seeks interns to blend desk and field research across Asia-Pacific, collecting, cleaning, and analyzing data to feed pragmatic insights and strategic decisions. You’ll source public, commercial, and proprietary data, then apply machine learning techniques—predictive and prescriptive analytics, including SVMs, neural networks, and decision trees—to illuminate business choices. The role promises exposure to a DAX-30 multinational strategy function, cross-location collaboration, and hands-on BI research with data gathering and correlation to operational outcomes. The candidate profile prioritizes STEM or IT/business students, Excel and PowerPoint fluency, strong analysis, and a six-month commitment. What stands out is genuine ML ambition for an internship in semiconductor/electronics markets focused on decarbonization and digitalization; gaps include no salary detail, vague deliverables, and limited tooling transparency beyond Excel/PowerPoint.
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.
TT Global Competitive Intelligence Specialist
@ chemours
SG | 2025-12-23
Chemours’ Competitive Intelligence Specialist role sits at the crossroads of data, markets and global strategy in a chemical giant that champions sustainability. The job promises data-driven...
read more »
TT Global Competitive Intelligence Specialist
chemours
(SG) FULL TIME | JOB LISTED
Chemours’ Competitive Intelligence Specialist role sits at the crossroads of data, markets and global strategy in a chemical giant that champions sustainability. The job promises data-driven insights across Global, AP and EMEA with a China focus, leveraging Power BI, Excel, and PowerPoint to turn trade data, competitive moves, and market research into decisions. It demands a bachelor’s in analytics, economics or marketing, plus SQL and DAX chops and a talent for leading cross‑functional, remote‑matrix initiatives. The upside is exposure to TiO2 markets, global–China intelligence, and digitization projects; the downside is heavy governance, ambiguous metrics, and a role that blends business metrics with supply-side complexity in a multinational environment. If you crave impactful BI in a regulated, industrial context, this is a real test, not a badge.
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.
Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is Azure‑heavy: Data Factory, Data Lake Storage, App Service, Azure SQL, plus CI/CD via Azure DevOps, and a mandate to deploy ML in production. On the data side you’ll design relational, NoSQL, and big‑data pipelines using Python, SSIS or Informatica IPC, with scraping tools like BeautifulSoup or Scrapy and dashboards in Power BI. The workload spans data quality, governance, and security while optimizing cost and performance. Requirements demand 2–3 years of data engineering or software experience, solid communication, and self‑start energy, which is ambitious given the breadth. It’s a full‑stack data role in a market that values specialization; beware the scope creep and vendor hype.
Infineon’s Strategy and Market Development unit seeks interns to blend desk and field research across Asia-Pacific, collecting, cleaning, and analyzing data to feed pragmatic insights and strategic decisions. You’ll source public, commercial, and proprietary data, then apply machine learning techniques—predictive and prescriptive analytics, including SVMs, neural networks, and decision trees—to illuminate business choices. The role promises exposure to a DAX-30 multinational strategy function, cross-location collaboration, and hands-on BI research with data gathering and correlation to operational outcomes. The candidate profile prioritizes STEM or IT/business students, Excel and PowerPoint fluency, strong analysis, and a six-month commitment. What stands out is genuine ML ambition for an internship in semiconductor/electronics markets focused on decarbonization and digitalization; gaps include no salary detail, vague deliverables, and limited tooling transparency beyond Excel/PowerPoint.
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.
TT Global Competitive Intelligence Specialist
chemours
(SG) FULL TIME | JOB LISTED
Chemours’ Competitive Intelligence Specialist role sits at the crossroads of data, markets and global strategy in a chemical giant that champions sustainability. The job promises data-driven insights across Global, AP and EMEA with a China focus, leveraging Power BI, Excel, and PowerPoint to turn trade data, competitive moves, and market research into decisions. It demands a bachelor’s in analytics, economics or marketing, plus SQL and DAX chops and a talent for leading cross‑functional, remote‑matrix initiatives. The upside is exposure to TiO2 markets, global–China intelligence, and digitization projects; the downside is heavy governance, ambiguous metrics, and a role that blends business metrics with supply-side complexity in a multinational environment. If you crave impactful BI in a regulated, industrial context, this is a real test, not a badge.
