Pando (www.pando.ai) is leading the global disruption of supply chain software, with our AI-powered, no-code, & unified platform empowering Autonomous Supply Chain®. We have been recognized by Gartner in the 2024 International and Asia/Pacific context of the Magic Quadrant™ for Transportation Management Systems (TMS)!

Pando’s Fulfilment Cloud provides manufacturers, retailers, and distributors with a single pane of glass to streamline end-to-end freight procurement-to-pay process to improve service levels, reduce carbon footprint, and reduce supply chain spend. As a partner of choice for Fortune 500 enterprises globally, with a presence across APAC, the Middle East, and the US, Pando is recognized as a Technology Pioneer by the World Economic Forum (WEF), and as one of the fastest growing technology companies by Deloitte.

Role Overview:

The Data Analyst will be responsible for analyzing business data, generating insights, and supporting strategic decision-making. This role involves working with large datasets, creating visual reports, and collaborating with cross-functional teams to optimize operational efficiency. A strong understanding of supply chain and logistics management is preferred, as the role will involve analyzing operational performance, inventory trends, and transportation data to drive efficiency.

Key Responsibilities

• Interact with clients & stakeholders to understand business challenges and present insights.
  
• Analyze large datasets to identify key pain points and develop data-driven solution strategies.
  
• Leverage expertise in supply chain management and logistics technologies to drive process improvements.
  
• Provide data-driven recommendations to improve supply chain efficiency, inventory management, and logistics operations.
  
• Utilize technical skills in Python, Excel, and data visualization tools to extract, interpret, and present data effectively.
  

Requirements

• 5-8 years of experience as a Data Analyst from a consulting background
  
• Exposure to supply chain and logistics management, with experience in analysing transportation, warehousing, or inventory data.
  
• Strong proficiency in Excel/Google Sheets for data analysis and reporting.
  
• Experience with SQL for data extraction and manipulation.
  
• Knowledge of Power BI / Tableau / Looker for data visualization.
  
• Familiarity with Python/R for data analytics and automation.
  
• Understanding of statistical analysis and forecasting techniques.