Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, mid-level generalist analytics role, metro location, and broad skillset drive high competition.
Core analytics skills are transferable but SAP and regulated pharma context moderately limit cross-industry fit.
Explicit 5-9 years, supply chain domain experience, SAP and BI tool requirements, and regulated environment increase strictness.
Develop and maintain enterprise-level dashboards, KPI scorecards, and reports to improve supply chain decision-making and operational performance.
Provide analytics support across planning functions (Demand, Supply, Raw Materials, Inventory) and site supply chain operations to optimize inventory, forecast accuracy, and supply reliability.
Manage functional support and continuous improvement for supply chain systems (SAP and others) and deliver digital solutions including automation and AI-enabled analytics for enhanced business performance.
Bachelor's degree and 5-9 years of experience in Business Analytics, Data Analytics, Supply Chain, Operations, Finance, or related fields.
Experience supporting Supply Chain Planning, Manufacturing, Procurement, Logistics, or related functions.
Proficiency with SAP platforms (S/4HANA, ECC, Fiori, IBP) and BI tools such as Tableau, Power BI, or SAP Analytics Cloud.
Proficiency in data analytics/reporting tools including SQL, Python, Databricks, Excel, or similar technologies.
Experienced in supporting end-to-end supply chain planning and operations analytics with strong domain knowledge in Supply Planning, Inventory Planning, and Integrated Business Planning.
Capable of managing supply chain digital solutions and driving automation, process improvement, and AI-enabled analytics implementations in complex environments.
Skilled at delivering executive-level analytics and translating complex data into actionable insights that support strategic decision-making and continuous improvement.