Pando(www.pando.ai) is leading the global disruption of supply chain software, withour AI-powered, no-code, & unified platform empowering Autonomous SupplyChain®. We have been recognized by Gartner in the 2024 International andAsia/Pacific context of the Magic Quadrant™ for Transportation ManagementSystems (TMS)!

Pando’sFulfilment Cloud provides manufacturers, retailers, and distributors with asingle pane of glass to streamline end-to-end freight procurement-to-payprocess to improve service levels, reduce carbon footprint, and reduce supplychain spend. As a partner of choice for Fortune 500 enterprises globally, witha presence across APAC, the Middle East, and the US, Pando is recognized as aTechnology Pioneer by the World Economic Forum (WEF), and as one of the fastestgrowing technology companies by Deloitte.

Role Overview:

The Data Analyst will beresponsible for analyzing business data, generating insights, and supportingstrategic decision-making. This role involves working with large datasets,creating visual reports, and collaborating with cross-functional teams tooptimize operational efficiency. A strong understanding of supply chain andlogistics management is preferred, as the role will involve analyzingoperational performance, inventory trends, and transportation data to driveefficiency.

Key Responsibilities

Interact with clients & stakeholders tounderstand business challenges and present insights.
Analyze large datasets to identify key painpoints and develop data-driven solution strategies.
Leverage expertise in supply chain managementand logistics technologies to drive process improvements.
Provide data-driven recommendations to improve supplychain efficiency, inventory management, and logistics operations.
Utilize technical skills in Python, Excel, anddata 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.

Senior Data Analyst - Supply Chain/Logistics Management

Requirements