SAP Data & Analytics Lead

N Consulting Limited

Greater London

Hybrid

GBP 80,000 - 90,000

Full time

14 days+

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Job summary

A leading consulting firm is seeking an experienced SAP Data & Analytics Lead to oversee the design and implementation of data models and analytics solutions. The role requires at least 10 years of experience, particularly in SAP Datasphere and Analytics Cloud. You will collaborate with finance teams to create scalable data solutions, mentor junior developers, and ensure alignment with business KPIs. This position is hybrid, based in London, offering a competitive salary of £80 - £90 per year.

Qualifications

  • 10–12+ years of IT experience with core expertise in SAP Data & Analytics.
  • Strong hands-on experience with SAP Datasphere and SAC.
  • Proven ability to design and implement end-to-end analytics solutions.

Responsibilities

  • Lead the design, architecture, and implementation of enterprise-level data models.
  • Build, optimize, and maintain data pipelines and ODS models.
  • Collaborate closely with Finance stakeholders on requirements and analytics.

Skills

SAP Datasphere
SAP Analytics Cloud
Data integration technologies
Finance data modeling
Data governance
Performance optimization
Stakeholder management

Job description

LocationLondon, England, United Kingdom# SAP Data & Analytics Lead at N Consulting LtdLocationLondon, England, United KingdomSalary£80 - £90 /yearJob TypeFull-timeDate PostedApril 1st, 2026Apply Now**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.**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.**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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