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226 results for Data modelling jobs in Leuven within a 30 km radius
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Je bent actief betrokken bij elke fase van de data-lifecycle -van data-analyse en modeling tot workflow orchestration en performance optimization- om ervoor te zorgen dat data accuraat, toegankelijk en afgestemd is op de noden van de organisatie. Als Senior Data Analytics Engineer maak je deel uit van Information Delivery Services (IDS), het data-team dat verantwoordelijk is voor de implementatie van het gemeenschappelijk dataplatform bij een klant die een belangrijke speler is in de sociale zekerheid voor de domeinen werkloosheid, loopbaanonderbreking en tijdskrediet. • Opzetten van orchestration van data-workflows met Dagster voor betrouwbare en tijdige levering. • Uitvoeren van data-analyse en validatie om de kwaliteit en bruikbaarheid van datasets te garanderen. Daarnaast heb je een goede kennis van ETL/ELT-methodologieën, waarbij ervaring met Data Vault-modellering ...
Je bent actief betrokken bij elke fase van de data-lifecycle -van data-analyse en modeling tot workflow orchestration en performance optimization- om ervoor te zorgen dat data accuraat, toegankelijk en afgestemd is op de noden van de organisatie. Als Senior Data Analytics Engineer maak je deel uit van Information Delivery Services (IDS), het data-team dat verantwoordelijk is voor de implementatie van het gemeenschappelijk dataplatform bij een klant die een belangrijke speler is in de sociale zekerheid voor de domeinen werkloosheid, loopbaanonderbreking en tijdskrediet. • Opzetten van orchestration van data-workflows met Dagster voor betrouwbare en tijdige levering. • Uitvoeren van data-analyse en validatie om de kwaliteit en bruikbaarheid van datasets te garanderen. Daarnaast heb je een goede kennis van ETL/ELT-methodologieën, waarbij ervaring met Data Vault-modellering ...
Build and maintain scalable, reliable, and future-proof data models. * Solid understanding of data modeling, ETL/ELT processes, and data integration. The Group places innovation at the heart of its development and specialises in Artificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. We are looking for an experienced SAP Engineer specialized in DataSphere to join our team and support our data-driven transformation projects. You will play a key role in designing, implementing, and optimizing solutions based on SAP DataSphere, seamless, secureand efficient data management across the organization. * Integrate multiple data sources (SAP and non-SAP) into the DataSphere ecosystem. * Ensure data performance, security, and * Proven hands-on experience with SAP DataSphere or SAP Data Warehouse Cloud. * Knowledge of data visualization tools
Build and maintain scalable, reliable, and future-proof data models. * Solid understanding of data modeling, ETL/ELT processes, and data integration. The Group places innovation at the heart of its development and specialises in Artificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. We are looking for an experienced SAP Engineer specialized in DataSphere to join our team and support our data-driven transformation projects. You will play a key role in designing, implementing, and optimizing solutions based on SAP DataSphere, seamless, secureand efficient data management across the organization. * Integrate multiple data sources (SAP and non-SAP) into the DataSphere ecosystem. * Ensure data performance, security, and * Proven hands-on experience with SAP DataSphere or SAP Data Warehouse Cloud. * Knowledge of data visualization tools
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Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases. * Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to ...
Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases. * Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to ...
Design & Architecture: Architect, build, and maintain scalable data pipelines, data models, and Lakehouse architectures using OneLake, Data Factory, and Synapse Data Engineering/Warehouse, Databricks. * Technical Foundations: Strong proficiency in SQL (including query optimization) and a solid understanding of data modeling concepts. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Lead the Data Revolution. Drive Client Success with Data & AI. Your Mission: Turning Data Insights into Impact - As a Microsoft Data Solution & Presales Architect, you are more than a technical leader—you are a visionary and evangelist. We are seeking a highly experienced Microsoft Data & AI Solution & Pre-sales Architect to not only master the Microsoft Fabric platform and related services but also to act as a and in client engagements.
Design & Architecture: Architect, build, and maintain scalable data pipelines, data models, and Lakehouse architectures using OneLake, Data Factory, and Synapse Data Engineering/Warehouse, Databricks. * Technical Foundations: Strong proficiency in SQL (including query optimization) and a solid understanding of data modeling concepts. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Lead the Data Revolution. Drive Client Success with Data & AI. Your Mission: Turning Data Insights into Impact - As a Microsoft Data Solution & Presales Architect, you are more than a technical leader—you are a visionary and evangelist. We are seeking a highly experienced Microsoft Data & AI Solution & Pre-sales Architect to not only master the Microsoft Fabric platform and related services but also to act as a and in client engagements.
Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Power BI (data modeling, DAX, report and dashboard development) * Understanding of data modeling concepts (e.g., dimensional modeling, star schemas). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric. * Implement and manage robust data governance, security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview. * Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced ...
Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Power BI (data modeling, DAX, report and dashboard development) * Understanding of data modeling concepts (e.g., dimensional modeling, star schemas). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric. * Implement and manage robust data governance, security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview. * Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced ...
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Power Platform & Microsoft 365 Application Developer/Architect (with AI and Governance Focus)
Power Platform & Microsoft 365 Application Developer/Architect (with AI and Governance Focus)
Devoteam
Machelen
Nice to have: Proficiency in using Dataverse as a data backend; experience with data modeling and security. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. This role focuses on hands-on development and solution architecture, incorporating modern capabilities like Microsoft Co-Pilot for enhanced productivity, robust identity management with Microsoft Entra ID, and ensuring data through Microsoft Purview * Design, build, and deploy custom business applications using Power Apps (canvas and model-driven), exploring opportunities to integrate Co-Pilot functionalities for enhanced user experiences; * Create insightful reports, dashboards, and data visualizations using Power BI, connecting to various data sources. * Collaborate closely with , , and end-users to gather requirements, define solution scope, and ensure solutions meet business ...
Nice to have: Proficiency in using Dataverse as a data backend; experience with data modeling and security. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. This role focuses on hands-on development and solution architecture, incorporating modern capabilities like Microsoft Co-Pilot for enhanced productivity, robust identity management with Microsoft Entra ID, and ensuring data through Microsoft Purview * Design, build, and deploy custom business applications using Power Apps (canvas and model-driven), exploring opportunities to integrate Co-Pilot functionalities for enhanced user experiences; * Create insightful reports, dashboards, and data visualizations using Power BI, connecting to various data sources. * Collaborate closely with , , and end-users to gather requirements, define solution scope, and ensure solutions meet business ...
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Are you passionate about data-driven platforms, machine learning models, and innovative applications? We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
Are you passionate about data-driven platforms, machine learning models, and innovative applications? We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
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Analyse and document the new process and data model * Define and analyze the business model using modelling techniques and methods (visio, UML, diagrams, etc.) * Understand the E2E processand data flow
Analyse and document the new process and data model * Define and analyze the business model using modelling techniques and methods (visio, UML, diagrams, etc.) * Understand the E2E processand data flow
Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act) * Collaborate closely with , , and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling ...
Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act) * Collaborate closely with , , and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling ...
No match yet? There are 217 more jobs that could match your search
We are looking for an individual with commercial talent and an affinity for model trains to support our Toys & team! * Experience analysing and implementing data within your work, and utilising data for future growth and category improvements - Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model.
We are looking for an individual with commercial talent and an affinity for model trains to support our Toys & team! * Experience analysing and implementing data within your work, and utilising data for future growth and category improvements - Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model.
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You manage the end-to-end digital and omnichannel strategy and operationg model across the entire value chain, from customer awareness to customer invoicing - o You have a good understanding of strategic market management (including digital models), market process management and people coaching. o Good understanding of marketing and digital process frameworks and processes, business intelligence both on traditional and advanced analytics (data science, predictive).
You manage the end-to-end digital and omnichannel strategy and operationg model across the entire value chain, from customer awareness to customer invoicing - o You have a good understanding of strategic market management (including digital models), market process management and people coaching. o Good understanding of marketing and digital process frameworks and processes, business intelligence both on traditional and advanced analytics (data science, predictive).
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Legal Strategy: You analyze risks and opportunitiés within our business model and propose ideas to help our projects grow. * You know about data protection (GDPR), which is a great plus.
Legal Strategy: You analyze risks and opportunitiés within our business model and propose ideas to help our projects grow. * You know about data protection (GDPR), which is a great plus.
Developing and maintaining statistical models Experience with other tools for data analysis is a plus (SAS, PowerBI, SQL)
Developing and maintaining statistical models Experience with other tools for data analysis is a plus (SAS, PowerBI, SQL)
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Engineer, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Sven, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Engineer, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Sven, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 * Design, develop, and deploy machine learning models and algorithms * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * 5+ years of experience in a data science or machine learning role * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 * Design, develop, and deploy machine learning models and algorithms * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * 5+ years of experience in a data science or machine learning role * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Architect, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Architect, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. You will constantly be supported by the Data Tribe that is full of fellow engineers with a * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Experience in Google Cloud or other cloud environments & data processing solutions * You will be a 'role model' for the more junior people in the team
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. We are looking for a talented Full Stack Software Engineer to help us build web applications for management, visualization and analysis of drone acquired data. Our web platform provides fast and easy access to massive amounts of geospatial data. Live volume measurements, 3D visualizations and data aggregation are just examples of tools we build to allow our customers to make informed decisions.
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In this role, you will be the backbone of our product data management, ensuring that our quoting and ERP tools are accurate, up-to-date, and optimized for efficiency. This is not just a data entry role – it's about owning the lifecycle of our product catalogue, driving process improvements, and collaborating across departments to keep our systems aligned with market . * Ensure data accuracy and consistency across all systems and tools - Background: Strong IT background (ERP systems, data management) * Hybrid work model (Diegem office + home office)
In this role, you will be the backbone of our product data management, ensuring that our quoting and ERP tools are accurate, up-to-date, and optimized for efficiency. This is not just a data entry role – it's about owning the lifecycle of our product catalogue, driving process improvements, and collaborating across departments to keep our systems aligned with market . * Ensure data accuracy and consistency across all systems and tools - Background: Strong IT background (ERP systems, data management) * Hybrid work model (Diegem office + home office)
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. Our semantic technology delivers unparalleled accuracy in generation, data enrichment, and market intelligence across Belgium and beyond. * Experience selling SaaS, data solutions, marketing technology, or enterprise software is an advantage * Ability to grasp AI and data technology concepts quickly * Comfortable discussing lead generation, data enrichment, and B2B marketing strategies - Attractive Commission-Based Model
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. Our semantic technology delivers unparalleled accuracy in generation, data enrichment, and market intelligence across Belgium and beyond. * Experience selling SaaS, data solutions, marketing technology, or enterprise software is an advantage * Ability to grasp AI and data technology concepts quickly * Comfortable discussing lead generation, data enrichment, and B2B marketing strategies - Attractive Commission-Based Model
The Group places innovation at the heart of its development and specialises in Artificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. * Build SAP BPC model & dimension * Perform data analysis to ensure data quality
The Group places innovation at the heart of its development and specialises in Artificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. * Build SAP BPC model & dimension * Perform data analysis to ensure data quality
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By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. Does the idea of amplifying our message through partners to drive our Cybersecurity, Data & AI, and Creative Tech pillars excite you? You'll be the driving force behind our Belgian marketing activities for our core Value Accelerators: Cybersecurity, Data & AI, Creative Tech, and I-Tech. * Hybrid work model: Enjoy the flexibility of working from our Machelen office or from home.
By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. Does the idea of amplifying our message through partners to drive our Cybersecurity, Data & AI, and Creative Tech pillars excite you? You'll be the driving force behind our Belgian marketing activities for our core Value Accelerators: Cybersecurity, Data & AI, Creative Tech, and I-Tech. * Hybrid work model: Enjoy the flexibility of working from our Machelen office or from home.
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. Our semantic technology delivers unparalleled accuracy in lead generation, data enrichment, and market intelligence across Belgium and beyond. * Experience selling SaaS, data solutions, marketing technology, or enterprise software is an advantage * Ability to grasp AI and data technology concepts quickly * Comfortable discussing lead generation, data enrichment, and B2B marketing strategies - Attractive Commission-Based Model
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. Our semantic technology delivers unparalleled accuracy in lead generation, data enrichment, and market intelligence across Belgium and beyond. * Experience selling SaaS, data solutions, marketing technology, or enterprise software is an advantage * Ability to grasp AI and data technology concepts quickly * Comfortable discussing lead generation, data enrichment, and B2B marketing strategies - Attractive Commission-Based Model
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with , the PIP team gathered and standardised operational data to benchmark productivity across laboratories.
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with , the PIP team gathered and standardised operational data to benchmark productivity across laboratories.