Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society.
About The RoleAre you passionate about transforming data into business value? Do you enjoy working closely with senior stakeholders and influencing business decisions through analytics, insights, and emerging technologies? At Sulzer, we're embarking on an exciting journey from traditional Business Intelligence towards Artificial Intelligence-powered solutions. We're looking for an experienced Inhouse Consultant BI & Analytics to join our Global IT BI & Analytics team in Madrid and help drive our data-driven transformation.
This is not a pure IT development role. We are looking for someone who can combine strong technical expertise with business consulting skills, building trusted relationships with senior leaders across the business while delivering innovative analytics solutions.
As part of our general BI & Analytics team,
you will work closely with business stakeholders across Sulzer to understand challenges, identify opportunities, and deliver solutions that drive better decision-making.
Key Responsibilities
IncludePartnering with business leaders to understand requirements and translate them into scalable analytics solutionsDesigning, developing and enhancing enterprise BI applications using Qlik SenseDelivering meaningful insights and dashboards that support strategic and operational decision-makingWorking with Snowflake and modern data platforms to create trusted, scalable data solutionsSupporting Sulzer's "One Sulzer" harmonisation strategy through standardised reporting and analyticsDriving self-service analytics and data literacy across the organisationExploring and implementing emerging technologies including AI, Generative AI, Copilots and Agentic AI solutionsBuilding intelligent applications and data products that connect to Sulzer's modern data plat
📌 Inhouse Consultant BI (Madrid)
🏢 Sulzer
📍 Madrid