SAP Data & Analytics Lead

Natobotics

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+

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Job summary

A data analytics firm in London is seeking an experienced SAP Data & Analytics Lead to design and implement enterprise-level data solutions. The candidate must have over 10 years of IT experience, particularly in SAP Datasphere and Analytics Cloud. Responsibilities include leading data design, optimizing data pipelines, and mentoring a development team. Strong communication and stakeholder management skills are essential. This position offers a hybrid work mode and targets candidates with a background in Finance data modeling.

Qualifications

  • 10–12+ years of IT experience with core expertise in SAP Data & Analytics.
  • Strong hands-on experience in SAP Datasphere and SAP Analytics Cloud.
  • Experience integrating with SAP S/4HANA and non-SAP data sources.

Responsibilities

  • Lead the design, architecture, and implementation of data models and analytics solutions.
  • Build, optimize, and maintain data pipelines for Finance and cross-functional domains.
  • Collaborate with Finance stakeholders to understand requirements.

Skills

SAP Data & Analytics
SAP Datasphere
SAP Analytics Cloud
Data integration technologies
Finance data modeling & analytics
Data governance
Performance optimization
Communication skills

Education

SAP Certification(s) in SAC and Datasphere/Data Fabric

Job description

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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