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141 results for Data Insights Engineer jobs in Saint Jean Molenbeek within a 30 km radius
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As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. 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? * 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. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities.
As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. 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? * 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. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities.
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As Lead Data Engineer, you will be at the heart of our customers data strategy. You will constantly be supported by the Data Tribe that is full of fellow engineers with a - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. 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. * 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 ...
As Lead Data Engineer, you will be at the heart of our customers data strategy. You will constantly be supported by the Data Tribe that is full of fellow engineers with a - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. 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. * 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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We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Analyze large and complex datasets to identify patterns and insights * 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 are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Analyze large and complex datasets to identify patterns and insights * 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
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). 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 * 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. 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 ...
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). 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 * 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. 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 ...
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Design-to-Cost Collaboration: Partnering with internal engineers and suppliers to find cost-saving opportunities directly within the product design. * TCO & ERP Management: Managing the full cost cycle beyond unit prices and utilizing our ERP system to maintain precise data for production planning. Your technical affinity allows you to speak the same language as our engineers, ensuring that commercial goals never compromise technical excellence. * Technical Insight: The ability to discuss design optimizations with both technical suppliers and internal R&D.
Design-to-Cost Collaboration: Partnering with internal engineers and suppliers to find cost-saving opportunities directly within the product design. * TCO & ERP Management: Managing the full cost cycle beyond unit prices and utilizing our ERP system to maintain precise data for production planning. Your technical affinity allows you to speak the same language as our engineers, ensuring that commercial goals never compromise technical excellence. * Technical Insight: The ability to discuss design optimizations with both technical suppliers and internal R&D.
We offer the perfect environment for data engineers who are passionate about solving complex problems, and who thrive in a collaborative yet independent setting. Inoopa is a Belgian tech company based in Brussels (Ixelles) focused on unlocking the power of data for businesses. Our mission revolves around B2B lead generation, data enrichment, and cutting-edge R&D for enterprise and corporate clients. * Maintain regular follow-ups with clients to understand their needs and ensure the timely delivery of data solutions. Data Quality Management * Conduct benchmarking to assess and enhance the quality of Inoopa's data offerings compared to industry standards. * Collaborate with internal teams to identify and resolve data inconsistencies or errors. * Define and monitor data-related KPIs to ensure the delivery of high-quality, reliable * insights to clients.
We offer the perfect environment for data engineers who are passionate about solving complex problems, and who thrive in a collaborative yet independent setting. Inoopa is a Belgian tech company based in Brussels (Ixelles) focused on unlocking the power of data for businesses. Our mission revolves around B2B lead generation, data enrichment, and cutting-edge R&D for enterprise and corporate clients. * Maintain regular follow-ups with clients to understand their needs and ensure the timely delivery of data solutions. Data Quality Management * Conduct benchmarking to assess and enhance the quality of Inoopa's data offerings compared to industry standards. * Collaborate with internal teams to identify and resolve data inconsistencies or errors. * Define and monitor data-related KPIs to ensure the delivery of high-quality, reliable * insights to clients.
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Strong analytical ability to consolidate data from multiple sources into clear insights. Tessenderlo Group's Global ICT Department is seeking a Security Engineer/Analyst to strengthen the protection of our global computer networks, ICT applications, and infrastructure.
Strong analytical ability to consolidate data from multiple sources into clear insights. Tessenderlo Group's Global ICT Department is seeking a Security Engineer/Analyst to strengthen the protection of our global computer networks, ICT applications, and infrastructure.
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Identify, prioritize and analyze bottlenecks using data-driven insights and structured problem-solving methodologies - As Senior Production Process Engineer, you will be part of a cross-functional production team where engineering, quality, maintenance and operations work closely together to continuously improve processes, yield and quality. As a Senior Production Process Engineer, you analyze, develop and implement improvements in highly automated production processes to sustainably increase quality, yield and efficiency. * Basic knowledge of statistics and data analysis
Identify, prioritize and analyze bottlenecks using data-driven insights and structured problem-solving methodologies - As Senior Production Process Engineer, you will be part of a cross-functional production team where engineering, quality, maintenance and operations work closely together to continuously improve processes, yield and quality. As a Senior Production Process Engineer, you analyze, develop and implement improvements in highly automated production processes to sustainably increase quality, yield and efficiency. * Basic knowledge of statistics and data analysis
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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. We are looking for a Backend Engineer with strong knowledge of Python. * 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 * Access a global ecosystem of partners, cutting-edge tools, and industry insights.
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. We are looking for a Backend Engineer with strong knowledge of Python. * 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 * Access a global ecosystem of partners, cutting-edge tools, and industry insights.
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More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. A Learning-Centric Culture: Our learning tracks leverage online platforms, expert insights, and personalized training to build your skills.
More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. A Learning-Centric Culture: Our learning tracks leverage online platforms, expert insights, and personalized training to build your skills.
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By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. * Strong knowledge of the Python programming language and its core concepts such as object-oriented programming, functional programming and data structures. * Understanding of software design patterns and architecture principles, such as Clean Software Architecture, Data Structures, Microservices, Event-Driven, MVC, and SOA * Familiarity with data analysis and visualization libraries such as pandas, numpy and matplotlib.
By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. * Strong knowledge of the Python programming language and its core concepts such as object-oriented programming, functional programming and data structures. * Understanding of software design patterns and architecture principles, such as Clean Software Architecture, Data Structures, Microservices, Event-Driven, MVC, and SOA * Familiarity with data analysis and visualization libraries such as pandas, numpy and matplotlib.
Deeply and independently understand, define, and articulate customer problems and opportunities across different markets and use cases by conducting user interviews, analyzing data, and performing competitive research * Translate insights into clear product requirements and narratives, and collaborate closely with engineering to shape actionable specifications. * Define success metrics, evaluate product impact, and iterate based on insights * Help engineers deeply understand user needs, empowering them to make great product decisions - Continuously monitor industry trends and bring relevant insights into product strategy
Deeply and independently understand, define, and articulate customer problems and opportunities across different markets and use cases by conducting user interviews, analyzing data, and performing competitive research * Translate insights into clear product requirements and narratives, and collaborate closely with engineering to shape actionable specifications. * Define success metrics, evaluate product impact, and iterate based on insights * Help engineers deeply understand user needs, empowering them to make great product decisions - Continuously monitor industry trends and bring relevant insights into product strategy
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Deeply and independently understand, define, and articulate customer problems and opportunities across different markets and use cases by conducting user interviews, analyzing data, and performing competitive research * Translate insights into clear product requirements and narratives, and collaborate closely with engineering to shape actionable specifications. * Define success metrics, evaluate product impact, and iterate based on insights * Help engineers deeply understand user needs, empowering them to make great product decisions - Continuously monitor industry trends and bring relevant insights into product strategy
Deeply and independently understand, define, and articulate customer problems and opportunities across different markets and use cases by conducting user interviews, analyzing data, and performing competitive research * Translate insights into clear product requirements and narratives, and collaborate closely with engineering to shape actionable specifications. * Define success metrics, evaluate product impact, and iterate based on insights * Help engineers deeply understand user needs, empowering them to make great product decisions - Continuously monitor industry trends and bring relevant insights into product strategy
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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.
You will provide the team with structured insights into by combining market studies, primary qualitative research (by talking to !), quantitative research, and observed data on how users interact with the product. * You will work alongside multidisciplinary product teams, including designers and engineers/developers, to identify and solve key customer problems and to design solutions that are both user-friendly and technically feasible. * You are skilled at tackling complex problems and presenting logical, data-driven, and structured recommendations.
You will provide the team with structured insights into by combining market studies, primary qualitative research (by talking to !), quantitative research, and observed data on how users interact with the product. * You will work alongside multidisciplinary product teams, including designers and engineers/developers, to identify and solve key customer problems and to design solutions that are both user-friendly and technically feasible. * You are skilled at tackling complex problems and presenting logical, data-driven, and structured recommendations.
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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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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. * Provide data‑driven insights to enrich journey and touchpoint mapping with objective evidence on “moments that matter.” * Proven ability to transform complex data into insights, frameworks, and executive‑ready narratives. The Manager, CX Analytics Lead (insights & frameworks) leads the analytical engine of our global CX measurement system.
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. * Provide data‑driven insights to enrich journey and touchpoint mapping with objective evidence on “moments that matter.” * Proven ability to transform complex data into insights, frameworks, and executive‑ready narratives. The Manager, CX Analytics Lead (insights & frameworks) leads the analytical engine of our global CX measurement system.
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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. As a member of the leadership team, you will help build finance into a modern, data-driven business partner. You will transform financial insights into strategic decisions while leading finance digitalization initiatives involving ERP, Business Intelligence, automation, RPA, and AI. For its headquarters in Flemish Brabant, we are looking for a Head of Finance & Transformation who combines strategic insight, business controlling, leadership, and finance transformation. * An organization that actively invests in digitalization, data ...
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. As a member of the leadership team, you will help build finance into a modern, data-driven business partner. You will transform financial insights into strategic decisions while leading finance digitalization initiatives involving ERP, Business Intelligence, automation, RPA, and AI. For its headquarters in Flemish Brabant, we are looking for a Head of Finance & Transformation who combines strategic insight, business controlling, leadership, and finance transformation. * An organization that actively invests in digitalization, data ...
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ERP Master & Optimizer: Acting as the in our ERP planning modules, ensuring data accuracy for material requirements and capacity while always being attentive for optimization. * Technical & Commercial Insight: A strong understanding of S&OP and the ability to manage professional customer communications.
ERP Master & Optimizer: Acting as the in our ERP planning modules, ensuring data accuracy for material requirements and capacity while always being attentive for optimization. * Technical & Commercial Insight: A strong understanding of S&OP and the ability to manage professional customer communications.
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Digital Transformation: Leverage Business Intelligence (BI) tools and emerging AI technologies to automate reporting, enhance data visualization, and drive predictive financial insights. * Digital Skills: Proficiency in BI tools (e.g., Power BI, Tableau) and a keen interest in applying AI-driven solutions to financial modeling and data analysis. * Communication: A talent for making complex financial data (including cash and balance sheet metrics) understandable to non-financial stakeholders.
Digital Transformation: Leverage Business Intelligence (BI) tools and emerging AI technologies to automate reporting, enhance data visualization, and drive predictive financial insights. * Digital Skills: Proficiency in BI tools (e.g., Power BI, Tableau) and a keen interest in applying AI-driven solutions to financial modeling and data analysis. * Communication: A talent for making complex financial data (including cash and balance sheet metrics) understandable to non-financial stakeholders.
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Your focus will include IT governance, access management, IT general controls, data quality, cybersecurity, IT architecture, change management and the impact of technology on business processes. * you have a strong interest in IT risks, data analytics, IT architecture and digital transformation
Your focus will include IT governance, access management, IT general controls, data quality, cybersecurity, IT architecture, change management and the impact of technology on business processes. * you have a strong interest in IT risks, data analytics, IT architecture and digital transformation
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Our client is a recognized provider of data, analytics, and insights for the automotive industry. Join a global in automotive data & analytics to shape the future value modelling of vehicles across key European markets. This is a fully remote, high-impact role combining data analysis with real-world market expertise. With a strong international footprint, the organization supports key market players, including leasing companies, insurers, manufacturers, and importers, in making informed, data-driven decisions. * Apply strong market knowledge to complement and refine data-driven models * Support commercial teams with insights for client interactions when needed * Strong analytical mindset with experience working with data (preferably in automotive, leasing, insurance, or related industries) * Experience in data analysis, statistical modelling, or similar analytical work
Our client is a recognized provider of data, analytics, and insights for the automotive industry. Join a global in automotive data & analytics to shape the future value modelling of vehicles across key European markets. This is a fully remote, high-impact role combining data analysis with real-world market expertise. With a strong international footprint, the organization supports key market players, including leasing companies, insurers, manufacturers, and importers, in making informed, data-driven decisions. * Apply strong market knowledge to complement and refine data-driven models * Support commercial teams with insights for client interactions when needed * Strong analytical mindset with experience working with data (preferably in automotive, leasing, insurance, or related industries) * Experience in data analysis, statistical modelling, or similar analytical work
Thanks to your commercial mindset and technical insight, you translate customer needs into concrete solutions within our broad portfolio (new trucks, used equipment, short-term rental, service, etc.). * Strong combination of sales drive and technical/logistics insight * Strong analytical mindset with understanding of numbers and data
Thanks to your commercial mindset and technical insight, you translate customer needs into concrete solutions within our broad portfolio (new trucks, used equipment, short-term rental, service, etc.). * Strong combination of sales drive and technical/logistics insight * Strong analytical mindset with understanding of numbers and data
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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. * Prepare and analyze KPI reports, offering insights on performance against targets and identifying areas for improvement to support customer growth. * 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. * Prepare and analyze KPI reports, offering insights on performance against targets and identifying areas for improvement to support customer growth. * Collaborate with cross-functional teams (e.g., Finance, Logistics, IT) to streamline data flows and improve processes that enhance customer satisfaction and service delivery.
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Continuously improve pricing methodologies through advanced analytics and data-driven insights. Our client is a leading insurance company committed to innovation, customer-centricity and data-driven decision-making. This is an opportunity to combine actuarial expertise, advanced analytics and commercial insight within a collaborative and forward-looking environment. Working closely with Product Management, Underwriting, Finance, Data and IT teams, you will leverage actuarial modelling and advanced analytics to support strategic pricing decisions, improve portfolio profitability and maintain market competitiveness. * Promote best practices in actuarial modelling, data science and pricing governance. * Advanced knowledge of Python, SQL and Excel; experience with cloud-based data environments is considered an asset. * Strong analytical mindset with the ability to challenge assumptions and ...
Continuously improve pricing methodologies through advanced analytics and data-driven insights. Our client is a leading insurance company committed to innovation, customer-centricity and data-driven decision-making. This is an opportunity to combine actuarial expertise, advanced analytics and commercial insight within a collaborative and forward-looking environment. Working closely with Product Management, Underwriting, Finance, Data and IT teams, you will leverage actuarial modelling and advanced analytics to support strategic pricing decisions, improve portfolio profitability and maintain market competitiveness. * Promote best practices in actuarial modelling, data science and pricing governance. * Advanced knowledge of Python, SQL and Excel; experience with cloud-based data environments is considered an asset. * Strong analytical mindset with the ability to challenge assumptions and ...