SAP Datasphere Consultant

Provide L2/L3 production support for SAP Datasphere, ensuring timely incident resolution, troubleshooting, root cause analysis (RCA), and adherence to SLAs. Develop, maintain, and support SAP Datasphere data models, spaces, views, and analytical models based on business and reporting requirements Manage data integration from SAP source systems, particularly SAP S/4HANA, using data flows, replication flows, and task chains.

Monitor scheduled data loads, identify failures, troubleshoot integration issues, and ensure data availability and consistency. Write and optimize SQL queries and data transformation logic to support efficient data processing and reporting. Perform source-to-target data reconciliation and validation to identify discrepancies and ensure data accuracy, completeness, and consistency.

Investigate data inconsistencies and performance issues, implement corrective actions, and recommend improvements to data models and data flows. Support finance-related data and reporting requirements, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Cost Center Accounting, and Profitability Analysis.

Validate financial reports and datasets used for trial balance, Profit and Loss (P&L), balance sheet, and month-end closing activities. Collaborate with functional teams, business users, and technical stakeholders to understand issues, assess business impact, and deliver effective solutions. Maintain technical documentation, incident logs, RCA reports, and support procedures, ensuring compliance with support processes.

Provide support for SAP Analytics Cloud (SAC) analytical models, stories, and reporting issues, ensuring accurate data consumption and presentation.

Requirements

Hands-on experience in SAP Datasphere development, support, data modeling, spaces, views, and analytical models. Production Support: Experience in L2/L3 support, incident management, troubleshooting, root cause analysis (RCA), and SLA-based issue resolution. Data Integration: Knowledge of data flows, replication flows, task chains, scheduling, and monitoring data loads.

SQL and Data Modeling: Strong SQL skills, data transformation logic, query optimization, and troubleshooting data inconsistencies. SAP Source Systems: Experience integrating with SAP S/4HANA. Data Reconciliation: Ability to validate source-to-target data, identify discrepancies, and ensure data accuracy and completeness.

Finance Functional Knowledge (Preferred): Understanding of SAP FI/CO processes, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Cost Center Accounting, and Profitability Analysis. Financial Reporting: Knowledge of finance reporting requirements, such as trial balance, P&L, balance sheet, and month-end closing reports.

SAP Analytics Cloud (Preferred): Exposure to SAC stories, analytical models, reporting, and troubleshooting data-related issues.