SAP Analytics Business Analyst / SAP SAC Business Analyst

• SAP Analytics Business Analyst / SAP SAC Business Analyst
• Company: Teamware Solutions
• Job Location: Chennai, Tamil Nadu, India
• Employment Type: Full-time
• Role Title Lead Consultant - SAP Enterprise Analytics Business Analyst
• Location: Chennai

You will be working with the engineering teams and product owners from across the SAP space to define the detailed requirements for enterprise analytics assets (both data and dashboards).

• What youll do
• Lead end-to-end requirement lifecycle from discovery through delivery.
• Collaborate with senior business partners across Sales , Distribution , Receivables and Supply Chain and 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 for executive, 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/4HANAWork with data engineering teams to define ingestion patterns, transformations, and harmonization rules.

Drive consistency across master data, hierarchies, and reference data to support enterprise reporting.

Support integration with BW/S4HANA and other data hubs where applicable.

Bring strong functional understanding of the Order Distribution to Cash process and Network Strategy and Supply Chain planning, including: Inventory management , Network strategy , Supply chain planning.

• Define OD2C Key Performance Indicators and analytics such as Daily Sales, Pricing , Transport Costs , End to End Transport Analysis , billing accuracy and Receivables.
• Define NS&SCP Key Performance Indicators and analytics such as order intake, billing accuracy, DSO, on-time delivery, revenue leakage, and dispute management.
• Leverage S/4HANA Embedded Analytics (CDS Views, Analytical Queries) to support real-time NS&SCP insights.
• Collaborate with OD2C and NS&SCP functional teams to ensure analytics aligns with Fit-to-Standard S/4 processes.
• Participate in data management and analytics governance initiatives, including: Analytics catalog 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 automating decision making.
• Crucial Experience
• Good experience in Business Analysis within SAP Analytics and BI domains.

Hands-on experience in one or more full SAP S/4HANA implementation cycles, with a focus on: S/4 Embedded Analytics, SAP Analytics Cloud (SAC) and SAP Datasphere or SAP BW/4HANAAbility to convey complex information through analytics to diverse audiences, from executives to operational teams.Considerable functional exposure to Operations processes, with strong emphasis on Order Distribution to Cash (OD2C) , Network Strategy and Supply chain planning (NS&SCP)Good understanding of data modelling, 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 NimbusExposure 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.
• Relevant SAP certifications (Analytics, S/4HANA, SAC, Datasphere), or certifications in Project Management, BI, Data Management, or Finance.
• Experience working on large-scale, complex, and multi-year SAP transformation programs. .