Senior Data Analyst – Supply Chain/Logistics Management

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.