Role
SAP Data & Analytics Lead
Experience
12 years
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. Demonstrate experience in transformation projects such as ECC to S/4HANA and an active role with functional teams 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.
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, including 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.
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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