Supply Chain AI & Automation Analyst

About the company

Extreme is a global networking leader serving more than 50,000 customers worldwide with cloud-driven end-to-end solutions and highly rated services. The company supports digital transformation at scale and operates across Europe, North America, South America, Asia Pacific, and the Middle East.

About the role

Extreme Networks is hiring a Supply Chain AI & Automation Analyst for its Global Operations team in Shannon, County Clare, Ireland. The role focuses on turning complex operational data into practical insight that supports better decisions and automation across global supply chain and order management functions. You will work where analytics, AI, and supply chain strategy meet, collaborating with cross-functional partners to identify opportunities, build analytical products, and explain the story behind the numbers.

The company is looking for an analytically curious, technically capable professional who is comfortable with SQL, AI tools, business problem framing, project ownership, and presenting insights to stakeholders. A strong interest in the fast-changing AI landscape, especially agentic workflows, is important, and the company expects the successful candidate to already use AI tools in day-to-day analytical work.

Experience note

This position requires commercially delivered analytical experience. During the interview process, candidates must discuss a specific professional project they personally owned from problem definition through to business outcome. Academic assignments or course projects will not be considered. If your background is mainly academic, this role is not suitable at this time.

Key responsibilities

• Work with supply chain partners to shape business problems into clear, measurable, and automated workstreams.
• Create and support Python-, SQL-, and Snowflake-based data models, dashboards, and self-service reporting tools for global operations teams.
• Help bring AI and agent-based solutions into recurring analysis, decision support, and supply chain processes.
• Use statistical techniques to support data-led decisions across the global operations function.
• Own projects from start to finish, including scoping, stakeholder coordination, data discovery, modelling, validation, and deployment.
• Turn analysis into clear written, visual, and verbal stories for operational, business, and technical audiences.
• Set and monitor KPIs that track supply chain performance and highlight when intervention is needed.
• Improve data quality, documentation, and analytical standards within the team.

Required qualifications and skills

• 3 to 5 years of experience in business analytics, data analytics, or a similar quantitative role.
• Hands-on use of AI tools such as Claude, Microsoft Copilot, or ChatGPT within an analytical workflow, with a strong desire to build agentic and automation capabilities on the job.
• Strong Python capability and practical experience with Snowflake or another cloud data warehouse such as BigQuery, Redshift, or Databricks.
• Proven project management skills, including ownership of deliverables across multiple stakeholders and deadlines.
• Good understanding of descriptive statistics and analytics fundamentals.
• Strong ability to communicate insights through clear visuals and narratives that prompt action.
• Working knowledge of supply chain areas such as demand planning, supply planning, inventory optimization, order management, logistics, procurement, or manufacturing operations.
• Bachelor's degree in a quantitative subject such as Statistics, Operations Research, Engineering, Physics, Economics, Data Science, Supply Chain, Mathematics, or a related discipline.

Technical requirements

• Programming for analytics using Python or R for modelling, automation, and analytical workflows.
• Experience with BI and visualisation tools such as Tableau, Sigma, Power BI, Looker, or similar platforms.
• Exposure to ERP or transactional systems such as Oracle Fusion Cloud, or comparable systems.

Preferred background

• Practical experience using agentic workflows such as LLM assistants, retrieval-augmented analytics, or automated reasoning agents for analytical or operational challenges.
• Master's degree or PhD in a quantitative discipline such as Statistics, Operations Research, Engineering, Physics, Economics, Data Science, Supply Chain, Mathematics, or a related area.
• Experience with forecasting and optimisation, including time-series methods and other optimisation techniques.
• Understanding of machine learning basics such as classification, regression, clustering, and knowing when ML is or is not appropriate.
• Exposure to process improvement approaches such as Lean, Six Sigma, or similar structured problem-solving methods.
• Ability to manage ambiguity, balance competing priorities, and build trust with non-technical stakeholders.

Success measures

• Within 3 months, understand the supply chain data environment, the key stakeholders, and the most important business questions.
• Within 6 months, deliver at least one high-impact analytical product or AI-enabled workflow that changes how a decision is made.
• Within 12 months, become a trusted analytics partner to supply chain stakeholders and contribute to the wider analytics team’s standards and practices.

Compensation

Pay is based on qualifications and experience, with a salary range of 60,000 to 70,000.

Additional information

Extreme Networks may use AI tools during parts of the hiring process, such as reviewing applications, analysing resumes, checking responses, or identifying possible inconsistencies or verification signals in submitted materials. These tools support the recruitment team but do not replace human judgment. Final hiring decisions are made by people. If you want more details about how your data is handled, you may contact the company.