Role & responsibilities

AI & Advanced Analytics Development

- Develop and support AI-powered analytics and automation solutions for supply chain and warehousing operations.
- Utilize Snowflake Cortex and related AI capabilities to build intelligent data solutions.
- Apply Large Language Models (LLMs) to automate analytics workflows, optimize SQL queries, and enhance data analysis capabilities.
- Design and maintain Snowflake Semantic Models to support natural language analytics and Agentic AI applications.
- Leverage AI platforms such as Gemini, Copilot, Claude, and ChatGPT to accelerate solution development and innovation.

Data Engineering & Application Development

- Develop advanced solutions using Python for data processing, automation, AI experimentation, and application development.
- Build, optimize, and troubleshoot complex SQL queries and data models.
- Utilize cloud-based technologies to support scalable and efficient AI solutions.
- Integrate APIs and up-to-date development practices into technology solutions.

Innovation & Emerging Technologies

- Research, evaluate, and prototype emerging AI technologies and use cases.
- Work with open-source AI frameworks such as Hugging Face, LangChain, and LangGraph.
- Develop proof-of-concept solutions demonstrating the practical application of AI within GXO's operations.
- Explore and implement Google AI technologies, including Gemini, to enhance operational performance.

Business Partnership

- Collaborate with Business Intelligence, Data Engineering, and Operations teams to identify automation opportunities.
- Analyze business challenges and translate them into scalable technical solutions.




- Support initiatives that improve productivity, decision-making, and operational excellence across supply chain functions.

Required Qualifications

Education

- Bachelor's degree in:
- Computer Science
- Data Science
- Artificial Intelligence
- Engineering
- Information Systems
- Analytics
- Or a related technical discipline
- Equivalent practical experience will also be considered.

Experience 0-2 years of professional, internship, or academic project experience in:

- Data Analytics
- Data Engineering
- Artificial Intelligence
- Machine Learning
- Automation Technologies

Required Technical Skills

- Strong proficiency in SQL with experience querying complex datasets.
- Understanding of relational and dimensional data modeling concepts.
- Strong programming skills in Python and associated analytics libraries.
- Working knowledge of Snowflake, including exposure to Snowflake Cortex or similar AI capabilities.

Understanding of:
- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering
- AI-powered workflow automation
- Familiarity with cloud platforms such as:

- AWS

- GCP

- Azure

Preferred Qualifications Candidates with exposure to the following will be highly regarded:

- Snowflake Semantic Models
- AI Agents and Agentic AI solutions
- Hugging Face ecosystem
- LangChain / LangGraph frameworks
- Google AI technologies
- Apache Airflow or similar orchestration tools
- APIs, Git, and modern software development methodologies
- AI, analytics, or automation projects completed through internships, academics, or personal initiatives
- Supply Chain, Logistics, Transportation, Distribution, or Warehouse Operations domain knowledge

📌 Analyst - Data Analytics (Mumbai)
🏢 GXO Logistics
📍 Mumbai