SAP Data
3 days ago
Role: SAP Data & Analytics Lead – HCM / HR
Location: London, UK
Is it Permanent/ Contract: open for both
Is it Onsite/Remote/Hybrid: Onsite
Overview
We are seeking an experienced
SAP Data & Analytics Lead
with a strong background in
Human Capital Management (HCM)
and
HR analytics
to lead the design and delivery of SAP-based data solutions. The ideal candidate will combine deep technical expertise in
SAP Datasphere
(formerly Data Warehouse Cloud) with a solid understanding of
HR data models
, business processes, and reporting needs.
You will be responsible for
defining and implementing data strategies, data models, and analytics solutions
that empower HR and business stakeholders to make data-driven decisions across Talent, Payroll, Learning, Recruitment, and Workforce Planning domains.
Key Responsibilities:
- Lead the
design, architecture, and implementation
of SAP Data & Analytics solutions, focusing on
SAP Datasphere
,
SAP Analytics Cloud (SAC)
, and
SuccessFactors
data integration. - Define and build
data models for HR and HCM domains
, ensuring alignment with business requirements and SAP best practices. - Collaborate with HR business stakeholders to
translate functional HR requirements
into scalable data and reporting solutions. - Design and develop
data pipelines and data models
across HR systems (SAP SuccessFactors, SAP HCM On-Prem, Payroll, Time Management, and Learning). - Oversee
data extraction, transformation, and loading (ETL)
processes into SAP Datasphere from various HR and non-HR systems. - Define and implement
data governance, data quality, and security
standards specific to employee and HR data. - Deliver
analytics dashboards and KPIs
using SAP Analytics Cloud or other visualization tools. - Lead or mentor a small team of data engineers and analysts, ensuring high-quality delivery.
- Work closely with cross-functional teams — HR, IT, and Data Governance — to ensure data consistency and compliance with GDPR and privacy standards.
- Support
HR reporting and workforce analytics
use cases, including attrition, diversity, headcount, compensation, and talent management analytics.
Key Skills & Experience:
Technical Skills:
- Deep expertise in
SAP Datasphere / SAP Data Warehouse Cloud - Strong experience in
SAP HANA modeling
(Calculation Views, SQL scripting, performance optimization) - Solid understanding of
SAP SuccessFactors
and/or
SAP HCM on-premise
data structures and integration models - Hands-on experience with
SAP Analytics Cloud (SAC)
for HR dashboards and reporting - Experience integrating with other HR and third-party systems (Payroll, Finance, Time, etc.)
- Strong understanding of
ETL processes
, data ingestion, and transformation using SAP and non-SAP tools - Knowledge of
Data Governance, Data Security, and GDPR compliance
in HR data contexts
Functional HR Experience:
- Familiarity with HR business processes such as
Talent Management, Recruitment, Learning, Compensation, and Workforce Planning - Ability to work closely with HR stakeholders to interpret analytical needs
- Understanding of
HR KPIs
, metrics, and data flows between HR modules
Preferred Skills:
- Experience with
SAP BW/4HANA
,
SAP Dataservices
, or
SAP Integration Suite (CPI) - Familiarity with
SuccessFactors Reporting Frameworks (ODS, People Analytics, Canvas Reports) - Exposure to
AI/ML for HR analytics
or
predictive workforce planning - Excellent communication and stakeholder management skills
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, HR Analytics, or a related field
- 8+ years of experience in SAP Data & Analytics roles
- 3+ years of experience specifically in
HR/HCM data
and analytics projects SAP certifications in
Datasphere
,
HANA
, or
Analytics Cloud
are a plusSeniority Level
- Mid-Senior level
- Industry
- IT Services and IT Consulting
- Employment Type
- Contract
- Job Functions
- Information Technology
- Skills
- Key Performance Indicators
- HR Analytics
- Analytics
- Management
- Human Capital Management
- Workforce Planning
- Human Resources (HR)
- Talent Management
- Recruiting
-
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