Experience Level: 10-12 Years
Core specialization: Analytics, Data Management
Job Summary: The Senior 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
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.
- Strong functional exposure to data management, statistical analysis, and data visualization.
- Familiarity with industry-specific software and tools such as Python, R, SQL
- Ability to work effectively in a cross-functional, collaborative team environment.
- Strong problem-solving and critical-thinking skills.
