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Business Analyst

Data Analysis Reporting Advance Excel

Bangalore (Yelahanka)

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Requirements

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Description


Position Overview: We are seeking a skilled and detail-oriented Business Analyst with expertise in advanced Excel functions, data analysis, and inventory management. The ideal candidate will play a key role in analyzing business performance, managing purchase records, overseeing inventory, and assisting in the optimization of supplier relationships. This role requires strong analytical skills, a deep understanding of sourcing, price negotiation, and the ability to develop comprehensive performance reports.


Key Responsibilities:

  • Advanced Excel Analysis: Utilize advanced Excel functions (such as pivot tables, macros, and complex formulas) to analyze large datasets, extract valuable insights, and provide reports that support decision-making.
  • Purchase Records Management: Monitor and maintain detailed purchase records, ensuring accuracy and up-to-date information related to procurement transactions.
  • Inventory Management: Track inventory levels, assess trends in stock movement, and help optimize inventory processes to ensure a balanced and cost-effective stock.
  • Data Analysis: Perform in-depth data analysis to identify trends, patterns, and areas for improvement in business processes, with a focus on optimizing performance.
  • Performance Reporting: Develop, maintain, and present performance reports that evaluate key business metrics, with an emphasis on procurement and inventory.
  • Sourcing & Supplier Relationship Management: Identify potential suppliers, analyze their offerings, and build strong relationships to ensure reliable supply chains. Support negotiations to secure competitive pricing and favorable terms.
  • Price Negotiation: Collaborate with suppliers and vendors to negotiate pricing, payment terms, and delivery schedules, driving cost reductions without compromising quality.
  • Process Improvement: Suggest improvements to procurement, inventory, and sourcing processes to drive efficiency and reduce operational costs.
  • Cross-functional Collaboration: Work closely with various departments (e.g., finance, operations, logistics) to support business needs and provide data-driven insights.