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Advanced Manufacturing & Data Consultant

Indeed
Full-time
Onsite
No experience limit
No degree limit
Carrer d'Aribau, 66, Eixample, 08011 Barcelona, Spain
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Job Summary: EY is seeking a professional to lead end-to-end analytical solution design, provide industry insights, and facilitate workshops with stakeholders. Key Highlights: 1. Opportunity to grow, learn, and make an impact. 2. Dynamic and collaborative environment with global teams. 3. Continuous training and personalized career development plan. Location: Barcelona Other locations: Primary Location Only Salary: Competitive Date: 16 May 2026 **Job description** ------------------- Requisition ID: 1695146 **At EY, we shape the future with confidence.** Here, you’ll find more than a job: an opportunity to grow, learn, and make an impact. Join our 7\.000 professionals across 15 offices in Spain and a global network of 400\.000 people working daily to transform businesses and societies. \#ShapeTheFutureWithConfidence \| \#EYCareers \| \#BuildingABetterWorkingWorld **The opportunity** At EY, we are a global leader in assurance, consulting, strategy and transactions, and legal and tax services. We are driven by innovation, technology, and our purpose to deliver lasting positive impact. **Key Responsibilities:** * Lead the definition and design of end-to-end analytical solutions—from process understanding through model validation to adoption in plant/operations. * Provide industry perspective to design solutions tailored to operations, maintenance, supply chain, and other key industrial functions across the value chain. * Facilitate workshops and co-creation sessions with business and technology stakeholders, ensuring shared understanding and decision-making. * Identify and prioritize data, analytics, and AI use cases with direct impact on industrial process efficiency, productivity, and optimization. * Translate business requirements into clear functional specifications for Data Engineering, Data Science, and AI Engineering teams, ensuring alignment with operational objectives. * Collaborate on configuring data and AI operating models enabling clients to industrialize analytical capabilities. * Ensure value creation through KPI tracking, impact assessment, and scaling plans for use cases. **Job Requirements:** * English: C1 or higher * University degree: Mathematics, Physics, Statistics, Engineering (Industrial, Telecommunications, Computer Science, Mathematics, or related fields) * Minimum 1 year of experience in industrial environments or industrial-sector consulting **Preferred Advanced Degrees:** * Master’s in Data Science / Analytics, Big Data, Artificial Intelligence, Business Analytics, Data Engineering, or related fields * Master’s in Industry 4\.0, Industrial Digitalization, Smart Manufacturing, or related fields **Preferred Technical Knowledge:** * Analytical modeling, reporting, and exploitation (Python, SQL, Spark) * Databases (Azure, etc.) * Visualization and BI (Power BI, Tableau, or similar) * Knowledge of Machine Learning, Deep Learning, AI * Agile / Scrum **What We Offer?** **Wellbeing and Personal Benefits** * Wellbeing HUB: includes policies and initiatives supporting physical (Wellhub) and mental health. * Life and Accident Insurance. * Bankinter branch offering special conditions. * EY Flex Flexible Compensation Plan (transportation, training, meal card, childcare, etc.). **Flexibility and Work-Life Balance** * Hybrid work and flexibility based on project needs. **Professional Development** * Continuous learning via EY University, with a personalized learning path. * Career development plan to support annual growth within the firm. * Personalized support: you’ll be assigned a Buddy and a Counselor throughout your journey. **Culture and Work Environment** * Work in a dynamic and collaborative environment. * Opportunity to collaborate with global, multidisciplinary teams. * Expand your professional network within a diverse and enriching context. **Social Commitment** * Social impact initiatives led by the EY Foundation. **\#LI\-HYBRID**

Source:  indeed View original post
David Muñoz
Indeed · HR

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