Lead Business Analyst – Operations Analytics & AI

What you’ll do

1. Collaborate with multiple business teams and senior leaders within Operations groups, to lead the collection of requirements, existing challenges, and business opportunities; working with our delivery partners to make sure the Axial program is writing requirements and specifications at scale and pace, to a high quality. You will need to get hands-on too, writing requirements yourself.
2. Lead the integration of analytics and AI into business processes, where possible automating decision making.
3. Be engaged in data management work such as: design of an analytics catalogue, promoting data literacy, participating in analytics governance forums and being the champion for citizen data services.
4. Develop & embed standards and guidelines for the business intelligence lifecycle.
5. Be responsible for navigation of interim states and solving the problems they generate.
6. Prepare material, tools, sample data, and processes for Fit-2-Standard workshops.
7. Contribute to the analytics and AI operating model.
8. Identify learning and development needs.

Essential for the role

1. Strong business analysis experience and knowledge of analytics.
2. Excellent communication and stakeholder management
3. Experience working with Senior stakeholders and in management level presentations.
4. Experience working in bigger project and implementations
5. Influencing design and user experience.
6. Considerable experience and expertise to one or more business processes in Operations:
7. Manufacturing and Warehouse management
8. Transportation management
9. Experience in working with large and sophisticated data sets in commonly used BI tools like SAP Analytics Cloud, Qlik & PowerBI.
10. Strong drive to learn new concepts in business processes, tools and applications.
11. A strong ability to convey complex information through analytics, catering from Top-Floor to Shopfloor.

Desirable for the role

1. Experience in one or more full S/4 HANA implementation cycle/s in Analytics using embedded analytics, SAP Analytics Cloud and understanding of SAP B/W4 HANA or SAP Datasphere
2. Experience in Business Process Management Tools like BIC or Nimbus or Signavio
3. Regulatory experience, e.g. GxP and SOx.
4. Exposure to more than one of the SAP modules such as: MM, PP, IM, EWM, QM, TM, or Controlling etc from business side. Technical or configurations skills are not required for this position.
5. Familiarity with data science, AI/ML concepts and use cases in Operations.
6. Bio-Tech, Pharmaceutical or Life Sciences experience.
7. Leading teams of analysts and testers.
8. UX experience.
9. Experience in Planning tools like Hyperion, SAP BPC or SAC Planning.
10. Certifications in SAP, Project Management, Business Intelligence, Data Management, Lean Framework or Operations.
11. Experience in large scale, complex & multi-year projects.