Professional

Job Summary

Care changes everything.

Business Analyst- Digital Industrial Engineering

Job Details

• Contract Type: Unlimited / Full-Time
• Country / City: India / Ahmedabad
• Company: NIVEA India Pvt. Ltd.
• Job Function: Supply Chain Management

Responsibilities

• Lead end-to-end Manufacturing Data AI initiatives across factories, from business problem definition and data feasibility assessment through pilot execution, deployment, adoption, and value realization.
• Build and strengthen AI-ready data foundations by improving data availability, quality, governance, accessibility, KPI standardization, and integration across SAP, MES, Power BI, and shopfloor systems.
• Translate manufacturing challenges into scalable analytics, AI, automation, and reporting solutions that drive measurable improvements in productivity, cost, quality, capacity utilization, maintenance, and operational performance.
• Partner closely with Manufacturing, Continuous Improvement, Engineering, Quality, Supply Chain Analytics, and Digital/AI teams to identify opportunities, define requirements, validate use cases, and ensure successful implementation.
• Develop and validate analytics and AI prototypes using manufacturing data, operational insights, and business expertise to demonstrate feasibility and business value.
• Manage a portfolio of Manufacturing Data AI initiatives, ensuring effective prioritization, stakeholder alignment, execution excellence, adoption, and benefit tracking.
• Establish standardized KPI frameworks, dashboards, benchmarking methodologies, and self-service analytics capabilities to enhance performance visibility, decision-making, and governance.
• Embed data-driven decision-making, analytics, and AI solutions into factory management systems and Continuous Improvement practices to ensure sustainable outcomes.
• Serve as the key liaison between manufacturing and technical teams, translating business needs into scalable digital, data, and AI solutions.
• Drive organizational adoption through communication, training, capability building, and the development of a Manufacturing Data AI community across the factory network.

Your Profile

• Master s degree in engineering, Industrial Engineering, Information Systems, Data Analytics, Computer Science, or a related discipline.
• 5+ years of experience in manufacturing, supply chain, operations analytics, digital transformation, or related fields.
• Strong understanding of manufacturing processes, factory operations, KPI governance, Continuous Improvement, and performance management.
• Proven experience translating business challenges into analytics, reporting, automation, or AI-driven solutions.
• Hands-on experience with manufacturing data ecosystems such as SAP ERP, SAP BW/BI, Power BI, MES, Azure Data Platform, and Microsoft technologies.
• Practical understanding of AI, advanced analytics, automation, and digital manufacturing, with a strong focus on business value and scalable implementation.
• Good to have: AI/Data Science/Machine Learning certification with hands-on capstone project experience using real-world business or operational data.
• Strong stakeholder management, communication, adoption, and change management skills in a global and cross-functional environment.
• Strong analytical and problem-solving mindset with the ability to work hands-on with business and technical teams.
• Fluent in English and flexible to work in CET time zone

Additional information

Your responsible recruiter is Kalyani Deshmukh

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.