Location: London, UK
Is it Permanent/ Contract: open for both
Is it Onsite/Remote/Hybrid: Onsite
Overview
We are seeking a highly experienced SAP Data & Analytics Lead with 10–12+ years of expertise in SAP data solutions, particularly SAP Datasphere and SAP Analytics Cloud (SAC). The ideal candidate will have strong functional and technical experience in Finance data modeling and analytics, along with hands-on development skills. A proven ability to lead design, implementation, and end-to-end delivery of SAP Data & Analytics solutions is essential.
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.
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).
* 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.
* 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.
Seniority level
* Mid-Senior level
Employment type
* Contract
Job function
* Information Technology
Industries
* IT Services and IT Consulting
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