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Role: SAP Data & Analytics Lead
Experience: 12years
Location: London
Work mode: Hybrid
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 lifecycle delivery of data and analytics solutions.
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Required Skills & Experience
10–12+ years of IT experience with core expertise in SAP Data & Analytics. Strong hands-on experience in: SAP Datasphere (data modeling, semantic modeling, 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 modeling & analytics. Experience integrating with SAP S/4HANA and non-SAP data sources. Should have hands on experience on modeling 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.
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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.
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