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Niche SAP Datasphere/SAC skillset and smaller employer reduces candidate density despite metro location.
Strong SAP Datasphere/SAC and Finance domain requirements limit cross-industry transferability.
Mandatory 4–6 years plus specialized SAP Datasphere and SAC skills create strict shortlisting filters.
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Design, build, and maintain data pipelines and models in SAP Datasphere integrating SAP and non-SAP data sources.
Develop and manage interactive dashboards and visualizations in SAP Analytics Cloud tailored for Finance, Accounting, and Commercial stakeholders.
Perform data analysis, forecasting, anomaly detection, and root-cause analysis on financial and commercial SAP data to generate actionable business insights.
4 to 6 years of experience with SAP Datasphere and SAP Analytics Cloud.
Proficiency in SQL and Python for data extraction, transformation, modeling, and integration from diverse systems and APIs.
Strong understanding of SAP data structures, especially in Finance (FI/CO) and Commercial modules.
Bachelor's degree in Engineering (BE) or equivalent.
Experienced in end-to-end ownership of SAP data engineering and analytics workflows within Finance or Commercial business functions.
Skilled in applying advanced analytics including forecasting and anomaly detection on SAP business data.
Capable of collaborating effectively with Finance and Commercial teams to translate technical outputs into business insights.