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Job summary
A tech consulting firm based in Santa Clara is seeking an experienced SAP Analytics Cloud professional. Candidates must have a minimum of 4 years in SAP Analytics Cloud and 8 years in the SAP ecosystem, along with solid financial planning, forecasting, and budgeting skills. The role involves developing SAC planning models and integrating data between SAP S/4 and SAC Group Reporting. Strong knowledge of financial statements, US GAAP, and IFRS is essential. This position offers the opportunity to enhance financial consolidations and performance capabilities within the organization.
Qualifications
Minimum of 4 years of relevant experience in SAP Analytics Cloud.
5+ years of SAP SAC planning experience.
Knowledge of US GAAP and IFRS.
Responsibilities
Create and manage financial planning forecasts and budgets using SAP SAC.
Integrate between SAP S/4 and SAC Group Reporting.
Design and develop SAC Planning models.
Enhance performance of data actions and stories as suggested by SAP.
Skills
SAP Analytics Cloud
Financial Planning & Analysis (FP&A)
Data Actions
Data Modeling
GAP and IFRS
Financial Consolidation
Job description
Minimum of 4 years of relevant experience in SAP Analytics Cloud and 8 years in SAP eco-system including ECC and/or S/4.
Business-related corporate and /or financial planning, forecasting, budgeting experience with a strong understanding of FP&A functions and activities.
Strong knowledge of financial statements (P&L, Balance Sheet, Cash Flow).
Knowledge of US GAAP and IFRS.
5+ years SAP SAC planning.
2-3 projects with hands on development experience of SAC Planning models.
Good knowledge of Financial Consolidation processes with integration between SAP S/4 and SAC Group Reporting is desirable.
Functional knowledge in configuration of live data and import data connections and data acquisition in SAC environment using generic services and custom OData source types preferred.
Extensive experience in data modeling and preparing datasets, merging, appending, custom hierarchies, custom calculations, groupings, formatting values, data wrangling, dimensions, and Measures.