Job
Description
The Axial programme needs the best talent to work in it. Whether it s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are aiming to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefit of our employees, customers and patients. Join Axial as an Engineer and help build cutting-edge pipelines and visualizations on our new SAP analytics stack using Datasphere and SAP Analytics Cloud. Be part of a self-sufficient, agile team creating high-impact, reusable data products and dashboards that drive business decisions. With opportunities to work across data pipelines, modeling, testing, and more, this is your chance to shape the future of enterprise analytics while advancing your skills with world-class tools! We are looking for engineers who want to build pipelines and visualisations on the new SAP analytics stack (Datasphere and SAP Analytics Cloud). We are building out teams to face key finance and operations process areas. And, more importantly for this advert, we are building out an enterprise team to build and run the cross-cutting data products and dashboards. Data products like dimensions for business partner, material master, cost centre, profit centre, location and geography; or fact tables for complex multi-process reporting and exports to other data hubs. This team will be self-sufficient, so you will get experience of everything - data pipelines, data analysis, data modelling, testing, incident management. The team will work in a transparent and agile way, meaning there will be a published roadmap of analytics products and a constant flow of new work from across the Axial program and AZ. You will be part of a team that creates the most re-used analytics artefacts on the stack. This means you need to have a passion for well-engineered analytics. You are likely to have experience of some (but not all) of the following: ETL tooling; data modelling; SAP analytics tooling; dashboard creation; analytics best practices; data warehousing; data modelling; analytics testing; SAP data. We will provide training on SAP Datasphere and SAP Analytics cloud. Desirable experience: ETL tooling / data pipeline tools, Data modelling, SAP data and associated business processes, SAP Datasphere, SAP Analytics Cloud, Dashboard creation, Analytics best practices, Data warehousing, Analytics testing.
