SAP Analytics Cloud Job Durham area,North Carolina USA,IT/Tech

Experience and Skills

10 years of experience in at least one of the following: SAP Analytics Cloud, SAC Planning, S4

HANA Analytics, SAP Datasphere (Data Warehouse Cloud DWC)
Expert level knowledge of at least one of the SAP data warehousing solutions like SAP BW4

HANA or SAP HANA (esp. HANA Cloud or HANA 2.0)
High level knowledge of various replication methods to HANA or BW
Knowledge of deployment modes of various SAP Analytics solutions (Cloud, On-Premise, Hybrid) would be a plus
Good core consulting skills
Oral and written communication, organization and planning, client facing and interpersonal skills
Good knowledge of latest trends in Analytics space including platforms and solutions from other vendors
Experience working on mixed modelling with BW/4

HANA and HANA native modelling
Knowledge on S/4

HANA Analytics like building and extending CDS Views, creating query views or building KPIs using KPI Modeller is preferred
Hands‑on experience in advanced analytics domain like Predictive Analytics or SAC Smart Features, SAC Application Designer is a plus
Hands on knowledge of related planning solutions like BPC, TPM, BW-IP will be nice to have and will give added advantage
Prepare and maintain comprehensive documentation, including functional specifications, process flows and user manuals
Coordinate with technical team to discuss the customer requirement
Developing the new requirement, preparing the user manual with the required master data
Functional testing: SIT, Regression, Defect retest
Automation: develop test scripts, batch jobs and execute as per business process & requisitions

Responsibilities

To act as a point of escalation for complex and high-priority customer issues, ensuring timely resolution.

To create the root cause analysis for critical issues and put in place necessary preventive measures to reduce future defects.

To collaborate closely with product management, development, and QA teams to provide feedback on product improvements, influence product design, and ensure alignment with customer needs.

To provide technical assistance to the team members in resolving customer issues.

To drive continuous improvement initiatives for support processes, workflows and identify opportunities for innovation, automation, and efficiency enhancements.

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