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18 resultaten voor Data Architect in Schelle binnen een straal van 30 km
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As a Data Architect, you will play a pivotal role in helping our customers unlock the full potential of their data. You'll design and deliver innovative, robust, and scalable data solutions tailored to meet both their current and future business needs. Acting as a trusted , you'll collaborate closely with our customers to shape technical roadmaps and architectural blueprints that empower them to thrive in a data-driven world. With your expertise and forward-thinking approach, you'll bridge the gap between business goals and technical possibilities, ensuring our customers achieve sustainable success in their data strategies. * Collaborating with customers to understand their business goals, data challenges, and technical requirements, ensuring that the solutions you design align with their long-term objectives.
As a Data Architect, you will play a pivotal role in helping our customers unlock the full potential of their data. You'll design and deliver innovative, robust, and scalable data solutions tailored to meet both their current and future business needs. Acting as a trusted , you'll collaborate closely with our customers to shape technical roadmaps and architectural blueprints that empower them to thrive in a data-driven world. With your expertise and forward-thinking approach, you'll bridge the gap between business goals and technical possibilities, ensuring our customers achieve sustainable success in their data strategies. * Collaborating with customers to understand their business goals, data challenges, and technical requirements, ensuring that the solutions you design align with their long-term objectives.
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You possess relevant experience as a Data Engineer, Data Architect, or in a similar technical expert role. Joining our Data Team as a DataSolutions Architect, you'll be the strategic architect of our data future. By designing high-performance, scalable architectures that fit perfectly within our global ecosystem, you enable a team of Data Engineers to reach new heights of operational excellence. * Technical Mentorship: You guide Data Engineers in solving complex problems and foster the continued professional growth of the team. * 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. * Deep expertise in Google Cloud Platform (GCP) and associated data transformation solutions is essential.
You possess relevant experience as a Data Engineer, Data Architect, or in a similar technical expert role. Joining our Data Team as a DataSolutions Architect, you'll be the strategic architect of our data future. By designing high-performance, scalable architectures that fit perfectly within our global ecosystem, you enable a team of Data Engineers to reach new heights of operational excellence. * Technical Mentorship: You guide Data Engineers in solving complex problems and foster the continued professional growth of the team. * 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. * Deep expertise in Google Cloud Platform (GCP) and associated data transformation solutions is essential.
Relevant Google Cloud Professional Certification (e.g., Professional Data Engineer, Cloud Architect). 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 ...
Relevant Google Cloud Professional Certification (e.g., Professional Data Engineer, Cloud Architect). 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 ...
We hebben je zoekopdracht uitgebreid met 15 gelijkaardige vacatures.
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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 collaboration skills with business leaders, architects, and platform teams.
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 collaboration skills with business leaders, architects, and platform teams.
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 collaboration skills with business leaders, architects, and platform teams.
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 collaboration skills with business leaders, architects, and platform teams.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As a Microsoft M365 Copilot Solution and Presales Architect, you are the key architect and leader ensuring the secure, compliant, and high-value deployment of Copilot across our clients' organizations. Key Responsibilities: Architect, Lead, Enable Adoption. * Coordinate IT Operations, Information Security, and Business teams to ensure a secure foundation for Copilot (permissions, data classification, etc.) and maximize user adoption. Project experience: Experience in delivering end-to-end projects, while being the architect of the project.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As a Microsoft M365 Copilot Solution and Presales Architect, you are the key architect and leader ensuring the secure, compliant, and high-value deployment of Copilot across our clients' organizations. Key Responsibilities: Architect, Lead, Enable Adoption. * Coordinate IT Operations, Information Security, and Business teams to ensure a secure foundation for Copilot (permissions, data classification, etc.) and maximize user adoption. Project experience: Experience in delivering end-to-end projects, while being the architect of the project.
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are looking for a Digital Identity Cybersecurity Strategist who views identity through the lens of a Cybersecurity Architect. * Technical Roadmap Design: Architect long-term technical visions for AM, IGA, and PAM that prioritize threat reduction and align with the client's business goals. * Certifications: Highly valued: CISSP, CCSP, or Lead Architect certifications from major IAM vendors.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are looking for a Digital Identity Cybersecurity Strategist who views identity through the lens of a Cybersecurity Architect. * Technical Roadmap Design: Architect long-term technical visions for AM, IGA, and PAM that prioritize threat reduction and align with the client's business goals. * Certifications: Highly valued: CISSP, CCSP, or Lead Architect certifications from major IAM vendors.
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We complement these partnerships with in-depth Cyber, Data & AI and Software development. As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this includes modernizing complex legacy systems and migrating critical workloads to the cloud, implementing advanced AI/ML capabilities (including GenAI and Vertex AI) to extract new business value from data, engineering large-scale data platforms (like BigQuery) for deep analytics, and ultimately building future-proof, secure, and resilient cloud-native application architectures.
We complement these partnerships with in-depth Cyber, Data & AI and Software development. As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this includes modernizing complex legacy systems and migrating critical workloads to the cloud, implementing advanced AI/ML capabilities (including GenAI and Vertex AI) to extract new business value from data, engineering large-scale data platforms (like BigQuery) for deep analytics, and ultimately building future-proof, secure, and resilient cloud-native application architectures.
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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). * AWS Certifications (e.g., AWS Certified Generative AI Developer – Professional, AWS Certified Machine Learning – Specialty, AI ...
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). * AWS Certifications (e.g., AWS Certified Generative AI Developer – Professional, AWS Certified Machine Learning – Specialty, AI ...
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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).
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 member of the Data Strategy team, will typically collaborate closely with and receive direction from the Data Strategist.
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 member of the Data Strategy team, will typically collaborate closely with and receive direction from the Data Strategist.
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You manage and optimize the Microsoft tools associated with the LMS365 platform (i.e., PowerBi, PowerApps, SharePoint, …) to ensure access to LMS365 data for reporting and to assure an excellent user experience throughout the learning & development process. * You identify opportunities for (continuous) improvement based on user feedback, data insights resulting from annual review process and talent review process and your own experience & expertise.
You manage and optimize the Microsoft tools associated with the LMS365 platform (i.e., PowerBi, PowerApps, SharePoint, …) to ensure access to LMS365 data for reporting and to assure an excellent user experience throughout the learning & development process. * You identify opportunities for (continuous) improvement based on user feedback, data insights resulting from annual review process and talent review process and your own experience & expertise.
NIEUW
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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. 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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As a new company with a long legacy of creating breakthrough solutions for our customers- toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.
As a new company with a long legacy of creating breakthrough solutions for our customers- toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.
As a new company with a long legacy of creating breakthrough solutions for our customers- toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.
As a new company with a long legacy of creating breakthrough solutions for our customers- toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.
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The Digital & Lead Management Specialist drives Esri BeLux's digital marketing performance by designing and optimizing data-driven campaigns across digital channels. As a Digital & Lead Management Specialist, you play a key role in turning marketing data into business impact. Data is at the heart of what you do. You create engaging email campaigns, segment audiences for relevant messaging, and ensure data hygiene and GDPR compliance. 5 years experience in Commercial Marketing, Digital Marketing, Business Management & Data Analytics / Business Intelligence * Proven experience in analyzing marketing data; knowledge of KPIs and ROI measurement.
The Digital & Lead Management Specialist drives Esri BeLux's digital marketing performance by designing and optimizing data-driven campaigns across digital channels. As a Digital & Lead Management Specialist, you play a key role in turning marketing data into business impact. Data is at the heart of what you do. You create engaging email campaigns, segment audiences for relevant messaging, and ensure data hygiene and GDPR compliance. 5 years experience in Commercial Marketing, Digital Marketing, Business Management & Data Analytics / Business Intelligence * Proven experience in analyzing marketing data; knowledge of KPIs and ROI measurement.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Together with cloud and data engineers, service leads and sales, you'll run your projects making sure to meet the project deadlines and our customer's expectations. Experience – Minimum of 2 years in a similar role, preferably in IT (Cloud environment, Infrastructure, IT workspace, Data).
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Together with cloud and data engineers, service leads and sales, you'll run your projects making sure to meet the project deadlines and our customer's expectations. Experience – Minimum of 2 years in a similar role, preferably in IT (Cloud environment, Infrastructure, IT workspace, Data).
We hebben je zoekopdracht uitgebreid met 19 vacatures buiten de geselecteerde regio
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You will work closely with Operations, IT, Data, and Digital teams, while strictly adhering to AI governance frameworks (GDPR, EU AI Act, Generali Group standards). * Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar. * Understanding of data governance, GDPR, and responsible AI principles.
You will work closely with Operations, IT, Data, and Digital teams, while strictly adhering to AI governance frameworks (GDPR, EU AI Act, Generali Group standards). * Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar. * Understanding of data governance, GDPR, and responsible AI principles.
As a SOAR Solutions Architect, be responsible for the end to end delivery of SOAR projects to NVISO's customers.
As a SOAR Solutions Architect, be responsible for the end to end delivery of SOAR projects to NVISO's customers.
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The Group places innovation at the heart of its development and specialises inArtificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. Talan also has strong expertise in SAP, supporting clients in the implementation, development, and optimisation of SAP solutions across various modules, including finance (FI/CO), logistics, analytics (BW/4HANA, BPC, SAC, SAC planning, Datasphere), and SAP S/4HANA transformations. In this context, we are looking for aConsultant Data & Analytics SAP - Datasphere / BDCto join Talan. 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, ensuring seamless, secure, and efficient data management across the organization.
The Group places innovation at the heart of its development and specialises inArtificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. Talan also has strong expertise in SAP, supporting clients in the implementation, development, and optimisation of SAP solutions across various modules, including finance (FI/CO), logistics, analytics (BW/4HANA, BPC, SAC, SAC planning, Datasphere), and SAP S/4HANA transformations. In this context, we are looking for aConsultant Data & Analytics SAP - Datasphere / BDCto join Talan. 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, ensuring seamless, secure, and efficient data management across the organization.
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You will collaborate closely with business stakeholders, architects, developers, testers, and product owners to deliver innovative payment solutions and enhancements. * Collaborate with architects and technical teams to define implementation requirements.
You will collaborate closely with business stakeholders, architects, developers, testers, and product owners to deliver innovative payment solutions and enhancements. * Collaborate with architects and technical teams to define implementation requirements.
NIEUW
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With its research and innovation Centre, Talan puts innovation at the heart of its development and intervenes in the technological mutation sectors, such as Artificial Intelligence, Data Intelligence, Blockchains, to avail the growth of major groups and mid-cap companies through a committed and responsible approach. * Collaborate directly with business teams to understand contract requirements and translate them intoAPIs,data models, and backend logic * Process and manipulate data using tools such asPandasandPydantic * Contribute to the design and optimization ofSQL-based data models and queries * Solid understanding ofAPI design, data modeling, and relational databases (SQL) * Exposure to data processing and analytics tools
With its research and innovation Centre, Talan puts innovation at the heart of its development and intervenes in the technological mutation sectors, such as Artificial Intelligence, Data Intelligence, Blockchains, to avail the growth of major groups and mid-cap companies through a committed and responsible approach. * Collaborate directly with business teams to understand contract requirements and translate them intoAPIs,data models, and backend logic * Process and manipulate data using tools such asPandasandPydantic * Contribute to the design and optimization ofSQL-based data models and queries * Solid understanding ofAPI design, data modeling, and relational databases (SQL) * Exposure to data processing and analytics tools
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Are you passionate about turning data into actionable insights and performance improvement? Leverage data and process analysis to identify trends, generate actionable insights, and uncover opportunities for improvement. Partner closely with IT and digital transformation teams to develop and enhance tools, dashboards, and data-driven solutions. Proficiency in data analysis, data visualisation, and reporting tools.
Are you passionate about turning data into actionable insights and performance improvement? Leverage data and process analysis to identify trends, generate actionable insights, and uncover opportunities for improvement. Partner closely with IT and digital transformation teams to develop and enhance tools, dashboards, and data-driven solutions. Proficiency in data analysis, data visualisation, and reporting tools.
NIEUW
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Are you passionate about turning data into actionable insights and performance improvement? Leverage data and process analysis to identify trends, generate actionable insights, and uncover opportunities for improvement. Partner closely with IT and digital transformation teams to develop and enhance tools, dashboards, and data-driven solutions. Proficiency in data analysis, data visualisation, and reporting tools.
Are you passionate about turning data into actionable insights and performance improvement? Leverage data and process analysis to identify trends, generate actionable insights, and uncover opportunities for improvement. Partner closely with IT and digital transformation teams to develop and enhance tools, dashboards, and data-driven solutions. Proficiency in data analysis, data visualisation, and reporting tools.