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SAP Analytics Cloud (SAC) Consultant – Pharma Domain

Hi Professional,

Greetings…!!

This is Santosh and I represent Sierra.  We have the below position with our client. If Interested, Kindly respond with your updated resume. Thank you.

SAP Analytics Cloud (SAC) Consultant – Pharma Domain

Remote/USA

We are seeking an experienced SAP Analytics Cloud (SAC) Consultant to support analytics and reporting initiatives for a leading pharmaceutical client. The role focuses on building scalable dashboards, visualizations, and data models that enable insights across clinical operations, regulatory compliance, and commercial performance.

Key Responsibilities

  • Design and develop SAC stories and dashboards tailored to pharmaceutical business units (e.g., R&D, supply chain, sales).
  • Collaborate with stakeholders to gather analytics requirements across domains such as patient case management, drug lifecycle, and regulatory reporting.
  • Integrate SAC with SAP HANA, BW/4HANA, and S/4HANA for real-time data access and reporting.
  • Build SAC models to support KPIs like drug efficacy, trial enrollment, and market penetration.
  • Ensure data accuracy and compliance with pharma regulations (e.g., FDA, EMA) in reporting workflows.
  • Conduct user training and create documentation for SAC solutions.
  • Support ad hoc analysis and executive reporting needs.

Required Skills & Experience

  • 4+ years of experience in SAP Analytics Cloud (SAC) focused on analytics and visualization.
  • Strong proficiency in SAC story design, including charts, tables, geo maps, and filters.
  • Experience with SAC data modeling and live data connections.
  • Familiarity with pharma-specific KPIs and reporting standards.
  • Knowledge of SAP HANA views, BW queries, and S/4HANA integration.
  • Excellent communication and stakeholder engagement skills.

Preferred Qualifications

  • SAP Certified Application Associate – SAP Analytics Cloud.
  • Experience with pharma analytics platforms or tools (e.g., Veeva, Argus).
  • Understanding of clinical trial data structures and regulatory reporting.
 
 

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