Job Title : Business Analyst - Manufacturing

Experience Level : 10-12 Years

Core specialization : Analytics, Data & Business Analysis

Job Summary : The Business Analyst in the Manufacturing domain will play a critical role in driving data-driven decision-making and operational excellence across supply chain, distribution, and logistics functions within the organization.

With extensive experience in data analysis and a deep understanding of manufacturing processes, the ideal candidate will excel in optimizing supply chain operations, improving distribution efficiency, and enhancing logistics strategies through advanced analytics.

Industry : Manufacturing

Candidate is expected to have exposure to one or more of the following functional areas -
• Supply Chain Optimization : Collaborate with supply chain teams to analyze demand forecasts, inventory levels, and production schedules, identifying areas for improvement and optimization.
• Distribution Strategy : Evaluate distribution networks, warehouse operations, and transportation logistics to optimize delivery routes, reduce lead times, and improve customer satisfaction.
• Logistics Management : Analyze transportation data, including freight costs, carrier performance, and delivery metrics, to optimize logistics operations and minimize transportation expenses.
• Inventory Management : Develop inventory forecasting models, optimize inventory levels, and implement inventory control strategies to balance supply and demand and reduce excess inventory holding costs.
• Quality Control : Analyze manufacturing and quality control data to identify trends, detect anomalies, and improve product quality and reliability.
• Process Improvement : Identify inefficiencies and bottlenecks in manufacturing processes, supply chain workflows, and distribution operations, recommending and implementing process improvements and automation solutions.

Key Responsibilities :
• Domain Understanding : Demonstrate a strong understanding of the industry, its challenges, trends, and specific data needs.
• Data Analysis : Analyze large datasets to extract valuable insights and trends specific to the industry.
• Requirements Gathering : Collaborate with stakeholders to gather and document business requirements, ensuring a deep understanding of domain-specific needs.
• Data Modeling : Understand data models, and help translate complex business needs into structured data solutions.
• Business Intelligence : Understand customer’s KPIs and provide analytical and business intelligence inputs to customer’s data visualizations and dashboard requirements & performance metrics
• Market Analysis : Stay updated on industry trends, market dynamics, and competitive landscapes to inform data-driven decision-making.
• Cross-functional Collaboration : Collaborate with cross-functional teams to implement data-driven solutions and initiatives.
• Data Quality : Provide inputs to the data engineering team to help ensure data accuracy, consistency, and integrity within the domain.
• Software & Tools : Proficiency in analytics and Data Tools, such as Python, R, SQL, Tableau, Power BI is desirable
• Regulatory Compliance : Knowledge of data security and privacy regulations is needed
• Agile Methodology : Proficient in agile methodology, including conducting agile ceremonies.
• Thought Leadership : Provide expert guidance and thought leadership to clients / customers.

Qualifications :
• Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science).
• 10-12 years of experience in business analysis, with a strong focus on data and analytics in the industry.
• Extensive experience with ERP tools such as SAP, Oracle ERP, demonstrating proficiency in their implementation and utilization.
• Strong functional exposure to data management, statistical analysis, and data visualization.
• Experience in creating wireframes for business requirements
• Familiarity with industry-specific software and tools such as Python, R, SQL
• Familiarity with UI / UX tools like Figma, Adobe, Balasmiq, etc.
• Strong problem-solving and critical-thinking skills.