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41 results for Administrator Data jobs in Aartselaar within a 30 km radius
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We are looking for a Business Operations Administrator who takes ownership of our internal backbone. * Maintain customer and supplier data
We are looking for a Business Operations Administrator who takes ownership of our internal backbone. * Maintain customer and supplier data
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Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Strong knowledge of data analytics, database management, governance, and ...
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Strong knowledge of data analytics, database management, governance, and ...
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TELUS Digital is at the forefront of creating and enhancing the world's data to enable better AI via human intelligence. By providing enriched data through a skilled team of and a managed AI Community of over one million crowd contributors, we empower generative AI (GenAI), computer vision, and natural language processing models. Utilizing proprietary AI-assisted, quality-optimized technology, we ensure efficient data collection, accurate labeling, and precise fine-tuning. * Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.
TELUS Digital is at the forefront of creating and enhancing the world's data to enable better AI via human intelligence. By providing enriched data through a skilled team of and a managed AI Community of over one million crowd contributors, we empower generative AI (GenAI), computer vision, and natural language processing models. Utilizing proprietary AI-assisted, quality-optimized technology, we ensure efficient data collection, accurate labeling, and precise fine-tuning. * Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.
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As a member of the leadership team, you will help build finance into a modern, data-driven business partner. * An organization that actively invests in digitalization, data analytics, and process optimization. You translate financial data into actionable insights, support decision-making, and play a key role in the ongoing professionalization and digital transformation of the finance function. You contribute to building a modern, data-driven finance organization that supports the business through insights, performance management, and efficient processes. * Provide data-driven recommendations to management and business teams. * Improve efficiency, data quality, and reporting speed across the organization. * Promote a data-driven decision-making culture by making financial and operational information more accessible and actionable.
As a member of the leadership team, you will help build finance into a modern, data-driven business partner. * An organization that actively invests in digitalization, data analytics, and process optimization. You translate financial data into actionable insights, support decision-making, and play a key role in the ongoing professionalization and digital transformation of the finance function. You contribute to building a modern, data-driven finance organization that supports the business through insights, performance management, and efficient processes. * Provide data-driven recommendations to management and business teams. * Improve efficiency, data quality, and reporting speed across the organization. * Promote a data-driven decision-making culture by making financial and operational information more accessible and actionable.
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Following up on the performance of our Lead Tool by analyzing data from our and take necessary steps to optimize this performance. Supporting the Inside Sales in internal and external communication about sales actions, loyalty programes, technical data, etc. You are not afraid of using sales dashboards and analyzing data.
Following up on the performance of our Lead Tool by analyzing data from our and take necessary steps to optimize this performance. Supporting the Inside Sales in internal and external communication about sales actions, loyalty programes, technical data, etc. You are not afraid of using sales dashboards and analyzing data.
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Close collaboration with marketing, product range management and support teams ( team, contact centre team, master data team, etc.).
Close collaboration with marketing, product range management and support teams ( team, contact centre team, master data team, etc.).
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Strong knowledge of data analytics, database management, governance, and ...
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Translate the enterprise data strategy into platform roadmaps and investment priorities. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Define and enforce governance for data, security, and access. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Strong knowledge of data analytics, database management, governance, and ...
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Sitting at the intersection of data analytics, insights, and customer journeys, this role builds analytical rigor, refines methodologies, elevates storytelling, and enables leaders to act on what customers are telling us. Act as the for CX intelligence, ensuring customer signals (NPS, journey data, customer behavioral insights, market insights, amongst others) are translated into business implications that drive experience-led value creation and stronger advocacy for the Barry Callebaut brand. * Partner with the Director CX Intelligence to prepare strategic materials and build data‑driven inputs that support leadership discussions. * Ensure methodological rigor, consistency, and data governance by working closely with CX Digital & Information teams on metric definitions, master data alignment, and tool adoption (Qualtrics, SFDC).
Sitting at the intersection of data analytics, insights, and customer journeys, this role builds analytical rigor, refines methodologies, elevates storytelling, and enables leaders to act on what customers are telling us. Act as the for CX intelligence, ensuring customer signals (NPS, journey data, customer behavioral insights, market insights, amongst others) are translated into business implications that drive experience-led value creation and stronger advocacy for the Barry Callebaut brand. * Partner with the Director CX Intelligence to prepare strategic materials and build data‑driven inputs that support leadership discussions. * Ensure methodological rigor, consistency, and data governance by working closely with CX Digital & Information teams on metric definitions, master data alignment, and tool adoption (Qualtrics, SFDC).
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You have solid accounting knowledge, proficiency in data manipulation (Excel / Google Sheets), and a keen interest in tech tools (ERP, Generative AI).
You have solid accounting knowledge, proficiency in data manipulation (Excel / Google Sheets), and a keen interest in tech tools (ERP, Generative AI).
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Analyze customer data to monitor key metrics such as asset usage, stock levels, and transaction discrepancies, delivering actionable insights that optimize operations and enhance client relationships. * Collaborate with cross-functional teams (e.g., Finance, Logistics, IT) to streamline data flows and improve processes that enhance customer satisfaction and service delivery.
Analyze customer data to monitor key metrics such as asset usage, stock levels, and transaction discrepancies, delivering actionable insights that optimize operations and enhance client relationships. * Collaborate with cross-functional teams (e.g., Finance, Logistics, IT) to streamline data flows and improve processes that enhance customer satisfaction and service delivery.
Ensure that processes and data of other call centers (e.g. Roadside Assistance, Marketing agencies) are aligned within MAF/MMB/MMNL
Ensure that processes and data of other call centers (e.g. Roadside Assistance, Marketing agencies) are aligned within MAF/MMB/MMNL
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Participate in team meetings and provide insights based on collected data and observations.
Participate in team meetings and provide insights based on collected data and observations.
This internship offers a unique opportunity to gain hands-on experience in strategic support, data analysis, and project management within a fast-paced e-commerce environment. * Data Analysis: Conduct ad-hoc analyses to identify growth levers or process optimization opportunities and implement reporting tools such as dashboards.
This internship offers a unique opportunity to gain hands-on experience in strategic support, data analysis, and project management within a fast-paced e-commerce environment. * Data Analysis: Conduct ad-hoc analyses to identify growth levers or process optimization opportunities and implement reporting tools such as dashboards.
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Enter and maintain HR data in HR systems and support the preparation of reports.
Enter and maintain HR data in HR systems and support the preparation of reports.
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Strong operations, clean data and smart systems. Transform data into insights. If diving into data, improving business processes and making systems run smoother energises you, this could be your next move. In this role, you'll be the link between operations, systems and data: ensuring accuracy, improving processes and enabling better decision-making across the organisation. This position combines operational execution with data governance and continuous improvement, driving business performance across Belgium, the Netherlands and Sweden. * Data management & reporting (accuracy & insights): Ensure high-quality data in CRM and related systems, maintain data integrity and support reporting for business decision-making (30%) * Cross-functional process optimisation (efficiency & improvement): Improve data flows, tools and workflows across departments to enhance efficiency, accessibility and data consistency (25%)
Strong operations, clean data and smart systems. Transform data into insights. If diving into data, improving business processes and making systems run smoother energises you, this could be your next move. In this role, you'll be the link between operations, systems and data: ensuring accuracy, improving processes and enabling better decision-making across the organisation. This position combines operational execution with data governance and continuous improvement, driving business performance across Belgium, the Netherlands and Sweden. * Data management & reporting (accuracy & insights): Ensure high-quality data in CRM and related systems, maintain data integrity and support reporting for business decision-making (30%) * Cross-functional process optimisation (efficiency & improvement): Improve data flows, tools and workflows across departments to enhance efficiency, accessibility and data consistency (25%)
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * 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. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. * Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities. * Bring best practices in Git, DevOps, and CICD to enhance client data platforms.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * 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. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. * Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities. * Bring best practices in Git, DevOps, and CICD to enhance client data platforms.
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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 * interview with Sven, our Head of Data & Analytics: You'll have a more in-depth technical discussion where you'll also ...
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 * interview with Sven, our Head of Data & Analytics: You'll have a more in-depth technical discussion where you'll also ...
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Presenting proposals to sales, utilizing market and internal data to validate and justify proposals * Booking sales contracts upon agreement from customers to lock in business * Utilizing open book pricing models, including commodity market coverage, margin analysis and proactive data management
Presenting proposals to sales, utilizing market and internal data to validate and justify proposals * Booking sales contracts upon agreement from customers to lock in business * Utilizing open book pricing models, including commodity market coverage, margin analysis and proactive data management
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Business HR - Drive talent solutions based on data insights and execute processes to improve business performance
Business HR - Drive talent solutions based on data insights and execute processes to improve business performance
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Monitor Quality Key Performance Indicators and support management decision-making through data-driven insights
Monitor Quality Key Performance Indicators and support management decision-making through data-driven insights
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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 * 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 * 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
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Your Mission: "Lead and scale our Microsoft Data tribe, driving cutting-edge AI innovation, pre-sales growth, and elite enterprise consulting across Belgium." The Tribe Manager Microsoft - Data & Analytics serves as the ultimate figurehead and strategic leader for our Microsoft Data subject matter ecosystem. In this pivotal role, you will be responsible for building, inspiring, and leading a high-performing team of consultants, data engineers and architects. * Team Governance: Manage, mentor, and oversee the entire Microsoft Data tribe, directly guiding and mentoring through structured 1-on-1 sessions. * Tech Roadmap: Shape the local technical vision for the Microsoft Data ecosystem, ensuring the team stays ahead of the curve on Microsoft Fabric, Azure Synapse, Azure ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Your Mission: "Lead and scale our Microsoft Data tribe, driving cutting-edge AI innovation, pre-sales growth, and elite enterprise consulting across Belgium." The Tribe Manager Microsoft - Data & Analytics serves as the ultimate figurehead and strategic leader for our Microsoft Data subject matter ecosystem. In this pivotal role, you will be responsible for building, inspiring, and leading a high-performing team of consultants, data engineers and architects. * Team Governance: Manage, mentor, and oversee the entire Microsoft Data tribe, directly guiding and mentoring through structured 1-on-1 sessions. * Tech Roadmap: Shape the local technical vision for the Microsoft Data ecosystem, ensuring the team stays ahead of the curve on Microsoft Fabric, Azure Synapse, Azure ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can - As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data pipelines and solutions primarily on Google Cloud Platform (GCP). You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best leverage GCP data services (like BigQuery, Dataflow, Cloud Composer, and Pub/Sub) to solve critical business challenges.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can - As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data pipelines and solutions primarily on Google Cloud Platform (GCP). You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best leverage GCP data services (like BigQuery, Dataflow, Cloud Composer, and Pub/Sub) to solve critical business challenges.
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
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
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Joining our Data Team as a DataSolutions Architect, you'll be the strategic architect of our data future. * Data Governance: You oversee the design of the Data Warehouse in BigQuery and strictly monitor security and privacy standards (IAM, data protection). * AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. * You possess relevant experience as a Data Engineer, Data Architect, or in a similar technical expert role. * Deep expertise in Google Cloud Platform (GCP) and associated data transformation solutions is essential.
Joining our Data Team as a DataSolutions Architect, you'll be the strategic architect of our data future. * Data Governance: You oversee the design of the Data Warehouse in BigQuery and strictly monitor security and privacy standards (IAM, data protection). * AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. * You possess relevant experience as a Data Engineer, Data Architect, or in a similar technical expert role. * Deep expertise in Google Cloud Platform (GCP) and associated data transformation solutions is essential.