Analyst - Data Analytics

Experience required: 0-2 years 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 modern 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