SAP Data & Analytics Lead

Required Skills & Experience

• 10-12+ years of IT experience with core expertise in SAP Data & Analytics. SAC
• Strong hands-on experience in:
• SAP Datasphere (data modelling, semantic modelling, integration, transformations).
• SAP Analytics Cloud (story building, planning, predictive features, dashboarding).
• Data integration technologies and cloud data solutions.
• Functional understanding and proven experience with Finance data modelling & analytics.
• Experience integrating with SAP S/4HANA and non-SAP data sources. Should have hands on experience on modelling for FI(GL,AP,AR,AA, and CO) processes.
• Strong grasp of data governance, lineage, performance optimization, and data security concepts.
• Proven ability to design and implement end-to-end analytics solutions from requirements gathering to production rollout.
• Excellent communication and stakeholder management skills.
• SAP Certification(s) in SAC and Datasphere/Data Fabric preferred.

Preferred Qualifications

• Experience working in onsite client environments with stakeholder collaboration.
• Strong problem-solving mindset, analytical skills, and ability to work in a fast-paced environment

Responsibilities:

• Lead the design, architecture, and implementation of enterprise-level data models and analytics solutions using SAP Datasphere and SAC.
• Build, optimize, and maintain data pipelines, ODS models, and data integration(In/out) in Datasphere for various Finance and cross-functional domains.
• Collaborate closely with Finance stakeholders to understand requirements and translate them into scalable, efficient data models and analytical reports.
• Provide hands-on development in Datasphere, data fabric, and SAC, including advanced calculations, KPIs, and dashboarding.
• Establish best practices for data governance, lineage, and security within Datasphere and SAC environments.
• Integrate data from SAP S/4HANA, ECC, SuccessFactors, third-party sources, and cloud systems into Datasphere. And should have experience in transformation projects like ECC to S4HANA and actively worked with functional on data warehousing reporting impacts.
• Manage and mentor a small team of developers while remaining actively engaged in technical solutioning and development.
• Ensure alignment of data models and reports with business KPIs, regulatory requirements, and financial planning processes.
• Perform performance tuning of large datasets, ensuring efficient queries and faster reporting outputs.
• Work with cross-functional teams (Finance, IT, Data Governance, Architecture) to ensure end-to-end life cycle delivery of data and analytics solutions.