SAP Operations Analytics

Lead Consultant - SAP Operations Analytics
Role Title – Lead Consultant - SAP Enterprise Analytics Business Analyst
Location: Chennai
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 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/4HANA
 Work 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/4HANA and other data hubs where applicable.
 Bring strong functional understanding of the Production to Dispatch and Procurement /
Material management lifecycles, including Warehouse management , Product manufacturing , Quality management , Operational procurement , Procurement analytics and supplier management.
 Define P2P, manufacturing and Warehouse management Key Performance Indicators and
analytics
 Leverage S/4HANA Embedded Analytics (CDS Views, Analytical Queries) to support real-time
P2P , manufacturing and Warehouse management insights.
 Collaborate with P2P , manufacturing and Warehouse management 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 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/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 Project
Management, BI, Data Management, or Finance.
 Experience working on large-scale, complex, and multi-year SAP transformation programs.

Work arrangement
Hybrid