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Niche SAP SD skillset but remote role and known employer yield moderate applicant competition.
Role requires specialized SAP SD domain knowledge, limiting cross-industry transferability.
Mandatory SAP SD expertise plus Power BI, Snowflake, and process-mining skills increases shortlisting strictness.
Analyze and optimize SAP SD Order-to-Cash processes using Process Mining tools to identify and address inefficiencies.
Collaborate with Data Engineering teams to extract SAP SD data, integrate it into Snowflake Data Warehouse, and develop Power BI dashboards and KPIs for sales performance visibility.
Lead end-to-end activities including requirement gathering, solution design, user acceptance testing, deployment, training, and post-production support within a global analytics transformation program.
Strong SAP SD (Sales & Distribution) functional expertise with deep understanding of Order-to-Cash processes and integration with other SAP modules.
Experience in Analytics and Data Engineering projects involving SAP data extraction, reporting, and process analysis.
Hands-on experience with Process Mining tools such as Celonis or SAP Signavio is highly desirable.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging business and technical teams for SAP SD analytics and reporting initiatives within global or cross-functional environments.
Demonstrates capability to deliver measurable process improvements using advanced analytics, process mining, and data visualization tools like Power BI and Snowflake.
Familiarity with supporting end-to-end SAP projects including testing, stakeholder management, and user training for high adoption and solution success.