SAP Business Analyst – Operations (SAP BA – Ops)

What you’ll do Lead end-to-end requirement lifecycle – from discovery through delivery. Collaborate with senior business partners across Finance, Commercial, Supply Chain, and Operations to identify analytical needs, challenges, and opportunities. Translate business requirements into clear functional specifications for data models, KPIs,dashboards, and stories. Influence analytics solution design and user experience, ensuring insights are intuitive,scalable, and actionable. Define and design SAC analytical applications, stories, dashboards, and visualizations forexecutive, managerial, and operational users. Apply best practices for SAC performance, security roles, data actions, and story optimization. Ensure SAC content supports Top-Floor to Shop-Floor analytics consumption Contribute to the design of enterprise data models in SAP Datasphere, including: Analytical datasets, Reusable semantic layers and Business entity models aligned with S/4HANA Work with data engineering teams to define ingestion patterns, transformations, andharmonization rules. Drive consistency across master data, hierarchies, and reference data to support enterprise reporting. Support integration with BW/4HANA and other data hubs where applicable. Bring strong functional understanding of the Production to Dispatch and Procurement /Material management lifecycles, including Warehouse management , Productmanufacturing , Quality management , Operational procurement , Procurement analyticsand supplier management. Define P2P, manufacturing and Warehouse management Key Performance Indicators andanalytics Leverage S/4HANA Embedded Analytics (CDS Views, Analytical Queries) to support real-timeP2P , manufacturing and Warehouse management insights. Collaborate with P2P , manufacturing and Warehouse management functional teams toensure analytics aligns with Fit-to-Standard S/4 processes. Participate in data management and analytics governance initiatives, including: Analyticscatalog design, KPI definitions and ownership, Data quality monitoring Promote data literacy and citizen analytics within the business. Develop and embed standards and guidelines for the analytics development lifecycle. Prepare materials, sample datasets, and processes for Fit-to-Standard workshops. Contribute to the ongoing evolution of the Analytics & AI operating model. Be responsible for navigation of interim states and solving the problems they generate. Prepare material, tools, sample data, and processes for Fit-2-Standard workshops. Lead integration of analytics and AI into business processes, where possible automatingdecision making.Crucial Experience Good experience in Business Analysis within Analytics and BI domains. Hands-on experience in one or more full SAP S/4HANA implementation cycles, with a focuson: S/4 Embedded Analytics, SAP Analytics Cloud (SAC) and SAP Datasphere or SAP BW/4HANA Ability to convey complex information through analytics to diverse audiences, from executives to operational teams.. Considerable functional exposure to Operations processes, with strong emphasis on manufacturing , warehouse management and P2P cycle. Good understanding of data modeling, KPI frameworks, and analytical storytelling. Strong learning attitude for new SAP tools, business processes, and digital innovations.Desirable for the role Experience with Business Process Management tools such as SAP Signavio, BIC, or Nimbus Exposure to regulatory environments (e.g., GxP, SOX). Familiarity with AI / ML concepts and their application in enterprise analytics. Industry experience in Life Sciences, Pharmaceuticals, or Bio-Tech. Experience leading or mentoring teams of analysts and testers. Strong UX and design-thinking exposure for analytics solutions. Experience with Planning tools such as SAP BPC, Hyperion, or SAC Planning. Relevant SAP certifications (Analytics, S/4HANA, SAC, Datasphere), or certifications in ProjectManagement, BI, Data Management, or Finance. Experience working on large-scale, complex, and multi-year SAP transformation programs.