Analyst, Data Analytics
GXO Logistics
Hybrid - Mumbai (All Areas)0–2 yrs1h agovia Naukri
This job at a glance
- Who can apply
- Freshers and up to 2 years · Bachelor's degree
- Must know
- OperationsSQLLLMsData analysisNLPPython
- Nice to have
- Snowflake
- Work
- Hybrid in Hybrid - Mumbai (All Areas)
- Pay
- Not stated by the employer.
- Listed
- 6 Nov 2026 · still open
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About the Role
Develop and support AI-powered analytics and automation solutions for supply chain and warehousing operations.
Key Responsibilities
- 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.
- 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 modern development practices into technology solutions.
- 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.
- 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.
Requirements & Tech Stack
- 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.
Qualifications
- 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.
- 0-2 years of professional, internship, or academic project experience in:
- Data Analytics
- Data Engineering
- Artificial Intelligence
- Machine Learning
- Automation Technologies
Preferred Qualifications
- Exposure to Snowflake Semantic Models.
- Experience with AI Agents and Agentic AI solutions.
- Familiarity with Hugging Face ecosystem.
- Experience with LangChain / LangGraph frameworks.
- Familiarity with Google AI technologies.
- Experience with Apache Airflow or similar orchestration tools.
- Knowledge of APIs, Git, and modern software development methodologies.
- Experience with AI, analytics, or automation projects completed through internships, academics, or personal initiatives.
- Domain knowledge in Supply Chain, Logistics, Transportation, Distribution, or Warehouse Operations.