10149 data analyst English-speaking jobs in the Netherlands

Dutch is a plus Working with diverse clients to make more future-oriented, sustainable and data-driven

maintaining diesel and gas engines and power systems for shipping, energy generation, construction, rail and data

Manage catalogs, libraries, specifications, and other project related data setup.

Competence in data analysis and algorithm development in Python or MATLAB are a plus.

We have a solid reputation in the maritime world thanks to our specialized experience in Voyage Data

collaborates closely with global IT partners (including managed service providers) and supports local site and data

ensuring performance, reliability, and long-term maintainability.Help to shape the system design and data

operates end‐to‐end WHAT WOULD MAKE YOU A MATCH Student with a focus on Business, Marketing, eCommerce, Data

P&L responsibility Strong commercial strategy, strategic planning and data analytical skills How we work

collaborative environment. experience may include manufacturing systems, automation, IT applications, data

phacoemulsification, vitrectomy, fluidics, light and laser, software)Design sampling plans, perform data

liquidity planning, investment strategy, and foreign‐exchange risk management, operating in a fast‐paced, data‐driven

and the ability to influence technical direction across teams A passion for creating user‐centric, data

-4 or Bachelor's degree (3-5 years experience) within Computer Science, Information Technology, Data

of MRP, materials management, production planning, capacity planning, production scheduling, master data

organization and identify opportunities accordingly combined with ability to prioritize relevant operational data

, we deliver industry‐specific ERP capabilities within the Microsoft ecosystem, specializing in the Data

Delivery: Build innovative, end‐to‐end AI systems that solve internal business challenges, encompassing data

environments within Cadmatic Hull.Manage catalogs, libraries, specifications, and other project related data

tickets/incidents: reproduce issues, clarify business impact, and distinguish between process gaps, data