Business Analyst Manufacturing

Beiersdorf Group; Mumbai; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Beiersdorf seeks an experienced professional to lead Manufacturing Data & AI initiatives across its factory network. You will shape data foundations, KPIs and governance, and deliver AI-enabled analytics, automation and reporting solutions to improve productivity and quality.

Collaborating with Manufacturing, CI, Engineering and Supply Chain Analytics, you will translate business needs into scalable digital solutions, validate use cases, and drive adoption with a global cross-functional team.

Qualifications

• Master’s degree in engineering, industrial engineering, information systems or related field.
• 5+ years in manufacturing analytics, digital transformation or operations analytics.
• Experience translating business challenges into analytics, automation or AI solutions.

Responsibilities

• Lead end-to-end Manufacturing Data & AI initiatives across factories.
• Build AI-ready data foundations with governance, quality and KPI standardization.
• Translate challenges into analytics, AI, automation, and reporting solutions.
• Collaborate with Manufacturing, CI, Engineering, Quality and Supply Chain Analytics.
• Develop analytics prototypes using manufacturing data to prove business value.
• Manage a portfolio of initiatives with prioritization and adoption tracking.
• Establish KPI frameworks, dashboards, benchmarking, and self-service analytics.
• Embed data-driven decision making into factory management and CI practices.
• Serve as liaison between manufacturing and tech teams, driving adoption.

Skills

Data analytics

AI

KPI governance

Stakeholder management

Change management

Business problem framing

Manufacturing domain knowledge

Education

Master’s degree in engineering/related

Tools

SAP ERP

SAP BW/BI

Power BI

MES

Azure Data Platform

Microsoft technologies

Job description

Your Tasks

The role will be responsible for :

• 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

At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.

Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.

Additional information

Your responsible recruiter isKalyani Deshmukh