Sr. Supply Chain Business Analyst

GEA

5 - 10 years

8 - 12 Lacs

Bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

Supply chain Business process ERP Automation Data analysis SAP SAP MM Gap analysis Business intelligence Analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

see Job Ad

Responsibilities / Tasks

JOB RESPONSIBILITY

Development and enhance supply chain business applications, in particular, plant delivery performance, inbound supplier performance for all GEA sites worldwide.
Design and implement new user stories for analytics/reporting requirements of various stakeholders based on the Central Business Intelligence platform (SAP BW on HANA / SAP Analytics Cloud)
Conception and implementation of group-wide training sessions
Management of application maintenance and enhancement for selected mentioned BI application with central BI/IT team
Conduct detailed business process gap analysis for Procure-to-Pay (P2P) and Order-to-Cash (O2C) cycles, expertise in SAP MM and SAP SD modules is a plus.
Collaborate with cross-functional teams to identify and drive technology-based process improvements in supply chain operations.
Monitor and enhance key global supply chain performance metrics, including Delivery Lead Time and Supplier & Customer Delivery Performance.
Perform hands-on data analysis using BI servers, SAP Analytics Cloud, and SAP Datasphere for actionable insights.
Implement automation solutions through Microsoft Power Platform (Power BI, Power Automate, Power Apps) to streamline workflows and increase team efficiency.
Support in implementation of Sales & Operations planning process.

Your Profile / Qualifications

(Masters) degree in economics with a high IT affinity, preferably w/ IT consulting experiences with min. 5-10 yrs. of work experience
Strong analytical skills, team ready and flexibility
Proven project management skills to handle IT within a multinational company with an external partner to deliver high performing analytics dashboards
Strong process knowledge of SAP as an ERP
Good knowledge of Microsoft office applications, preferably as well Microsoft Azure, data bricks, and data lake
Excellent command of the English language, both verbally and in writing

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