Business Analyst Manufacturing

1 month ago

Nagpur, India kipi.bi Full time

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.

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