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43 resultaten voor data-acquisitie in Edegem binnen een straal van 30 km
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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.
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Are you a commercially minded analyst with a passion for pricing, profitability, and turning data into action? * Actively expand data collection and processing of market-based metrics (consumer prices, competitive positioning * Candidates must hold a relevant degree in Finance, Economics, Data Analytics or a related discipline.
Are you a commercially minded analyst with a passion for pricing, profitability, and turning data into action? * Actively expand data collection and processing of market-based metrics (consumer prices, competitive positioning * Candidates must hold a relevant degree in Finance, Economics, Data Analytics or a related discipline.
NIEUW
We hebben je zoekopdracht uitgebreid met 41 gelijkaardige vacatures.
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Data Analysis & Dashboarding: Analyze market opportunities in MS Excel and build clear, intuitive dashboards in Power BI to visually track progress, conversion rates, and performance. * Educational Background: You are currently pursuing a Bachelor's or Master's degree in Business Administration, Commercial Economics, Business Development, Data Analytics, or a related commercial/analytical field.
Data Analysis & Dashboarding: Analyze market opportunities in MS Excel and build clear, intuitive dashboards in Power BI to visually track progress, conversion rates, and performance. * Educational Background: You are currently pursuing a Bachelor's or Master's degree in Business Administration, Commercial Economics, Business Development, Data Analytics, or a related commercial/analytical field.
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Solid analytical skills with ability to dig into raw data and interpret them to larger audiences
Solid analytical skills with ability to dig into raw data and interpret them to larger audiences
Act as a trusted , using recruitment data and analytics to influence hiring decisions and improve recruitment effectiveness. * Maintain data accuracy, process compliance, and reporting excellence across recruitment systems and tools. * Experience of recruitment analytics, ATS platforms, and HR systems to drive data-based decision making.
Act as a trusted , using recruitment data and analytics to influence hiring decisions and improve recruitment effectiveness. * Maintain data accuracy, process compliance, and reporting excellence across recruitment systems and tools. * Experience of recruitment analytics, ATS platforms, and HR systems to drive data-based decision making.
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• Analyze and report data/ findings clearly and promptly, documenting all relevant data for effective use across the organization
• Analyze and report data/ findings clearly and promptly, documenting all relevant data for effective use across the organization
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Support investigations and analysis by leveraging knowledge of relevant data sources and applications.
Support investigations and analysis by leveraging knowledge of relevant data sources and applications.
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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Production process optimization by monitoring and analyzing process data
Production process optimization by monitoring and analyzing process data
NIEUW
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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 Databricks is a plus * 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 Databricks is a plus * 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 th
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 th
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 * Exper
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 * Exper
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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.
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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 vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value. The Product Owner, as a key membe
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 vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value. The Product Owner, as a key membe
Snel solliciteren
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
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
NIEUW
Snel solliciteren
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 * Exper
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 * Exper
NIEUW
Snel solliciteren
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 partner to client Data Science teams, helping t
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 partner to client Data Science teams, helping t
NIEUW
Owner of the locale planning parameter / master data settings (SKU rates, line efficiencies,...)
Owner of the locale planning parameter / master data settings (SKU rates, line efficiencies,...)
Support investigations and analysis by leveraging knowledge of relevant data sources and applications.
Support investigations and analysis by leveraging knowledge of relevant data sources and applications.
The successful candidate will serve as a scientific leader in ecotoxicology and environmental risk assessment, integrating hazard, exposure, and fate data to inform regulatory decision-making. • Integrate hazard, exposure, and fate data to assess product environmental impacts - Testing Programs & Data Generation • Ensure data generation aligns with regulatory requirements and scientific best practices
The successful candidate will serve as a scientific leader in ecotoxicology and environmental risk assessment, integrating hazard, exposure, and fate data to inform regulatory decision-making. • Integrate hazard, exposure, and fate data to assess product environmental impacts - Testing Programs & Data Generation • Ensure data generation aligns with regulatory requirements and scientific best practices
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If you thrive on analysis, enjoy transforming financial data into meaningful insights, and are looking for a position with real impact, this role offers the perfect challenge. * Implement and monitor internal controls to minimise financial risks and improve data quality.
If you thrive on analysis, enjoy transforming financial data into meaningful insights, and are looking for a position with real impact, this role offers the perfect challenge. * Implement and monitor internal controls to minimise financial risks and improve data quality.
NIEUW
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. A major focus of this position includes helping clients establish robust AI Governance and Microsoft Copilot readiness frameworks by securing their underlying data estates and delivering adoption and governance training to client teams. * Design enterprise level Purview architectures and target operating models covering Data Security (Information Protection, Sensitivity Labels, Auto-classification, DLP), Data Governance & Lifecycle (Records Management, Retention, Data Cataloguing, Unified Maps), and Risk & Compliance (Insider Risk Management, eDiscovery Premium, Communication Compliance, Compliance Manager). * Assess client data risk profiles to AI rollout;
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. A major focus of this position includes helping clients establish robust AI Governance and Microsoft Copilot readiness frameworks by securing their underlying data estates and delivering adoption and governance training to client teams. * Design enterprise level Purview architectures and target operating models covering Data Security (Information Protection, Sensitivity Labels, Auto-classification, DLP), Data Governance & Lifecycle (Records Management, Retention, Data Cataloguing, Unified Maps), and Risk & Compliance (Insider Risk Management, eDiscovery Premium, Communication Compliance, Compliance Manager). * Assess client data risk profiles to AI rollout;
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Machine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring. * Responsible AI: Implement guardrails, data privacy, and security controls following AWS best practices and regulations (e.g., GDPR, EU AI Act). * Collaboration & Communication: Collaborate cross-functionally with data engineers, platform teams, and clients. * Education: Bachelor's or Master's degree in Computer Science, AI/Data Science, Software Engineering, or a related field.
Machine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring. * Responsible AI: Implement guardrails, data privacy, and security controls following AWS best practices and regulations (e.g., GDPR, EU AI Act). * Collaboration & Communication: Collaborate cross-functionally with data engineers, platform teams, and clients. * Education: Bachelor's or Master's degree in Computer Science, AI/Data Science, Software Engineering, or a related field.
NIEUW
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Maintain customer, product, and pricing information in SAP and ensure data accuracy at all times. * Work accurately with data across multiple systems while maintaining a high standard of quality and consistency. * You are confident working with data and managing information across multiple systems.
Maintain customer, product, and pricing information in SAP and ensure data accuracy at all times. * Work accurately with data across multiple systems while maintaining a high standard of quality and consistency. * You are confident working with data and managing information across multiple systems.
Snel solliciteren
Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act). * Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. * Bachelor's or Master's degree in Computer Science, AI/Data Science, Engineering, or a related field, or equivalent practical experience. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring).
Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act). * Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. * Bachelor's or Master's degree in Computer Science, AI/Data Science, Engineering, or a related field, or equivalent practical experience. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring).