Key Responsibilities
- Hands-on design, configuration, development and testing of SAC and SAP Datasphere solutions
- Build Datasphere data models including graphical views, SQL views and analytical models
- Extract and integrate data from SAP S/4HANA Private Cloud Edition (PCE) and SAP SuccessFactors
- Develop SAC stories, dashboards, models and analytic applications, including SAC Scripting
- Design and build SAC Planning solutions for budgeting and forecasting, including planning models, versions, data actions, allocations, advanced formulas and approval workflows
- Provide technical guidance and QA to offshore development teams
- Support SIT, UAT, defect resolution, data reconciliation, deployment and hypercare
- Produce technical design documentation and maintain test evidence (SAP Cloud ALM where applicable)
- Work with Finance, Procurement and HR/Payroll stakeholders to translate requirements into technical solutions
Essential Skills & Experience
- Strong hands-on SAP Analytics Cloud (SAC) development - stories, dashboards, models and analytic applications
- SAC Analytics and Planning Scripting
- SAC Planning, Budgeting and Forecasting, including data actions, allocations, advanced formulas and approval workflows
- SAP Datasphere data modelling (graphical views, SQL views, analytical models)
- Data extraction and integration from SAP S/4HANA PCE and SAP SuccessFactors
- Delivery experience within SAP implementation programmes, ideally during the SAP Activate Realise phase
- Understanding of Finance, Procurement and HR/Payroll reporting requirements
- Experience working with onshore and offshore delivery teams
- Strong problem solving and stakeholder communication skills
- Public sector experience
- SAP S/4HANA Public or Private Cloud implementation experience
- SAP SuccessFactors reporting structures and HR/Payroll data
- Financial, workforce or procurement planning experience
- SAP Analytics Cloud and/or SAP Datasphere certification
Rate:
£575/day
Location:
Midlands
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Senior