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Sista ansökningsdag 2026-03-21

Data Analyst – Factory IT and Digitalization for ABB Robotics

ABB ABVanlig anställningPublicerad 2026-03-10

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment. This Position reports to: Dept. manager, PNTI - Factory IT & Digitalization. Join us in shaping the next generation of data driven robotics manufacturing in the process of building a brand-new Robotics campus. As a Data Analyst within Factory IT, you will play a central role in transforming data into insights that strengthen decision making, improve user experience and support daily management across our production environment. You will work closely with Production, Production Engineering, IT and OT teams, as well as our MES and SAP specialists. Whether you bring senior experience or are an ambitious junior talent, you will have the opportunity to influence our data analytics strategy and drive its implementation. In this role, you will contribute to building a modern, digitalized factory environment with short decision paths, engaged colleagues and a clear mission to improve productivity and quality. Your location will be Västerås, where our team are located next to our production. Your responsibilities Build dashboards and reports for daily management including KPIs, OEE and deviation handling Establish and maintain data governance including definitions, ownership and measure

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