{"id":4044387,"url":"https://alion.io/job/asml-internship-supply-chain-analytics","title":"Internship - Supply Chain Analytics","company":{"id":17151,"name":"ASML","domain":"asml.com","url":"https://alion.io/company/asml","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":142,"ghost_share":0,"stale_share":0.824,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Operations","role_family":"Operations","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Photolithography","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-10T23:19:22Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T04:55:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About ASML\nASML US brings together creative minds in science and technology to develop lithography machines that enable the production of faster, more energy-efficient microchips. We design, develop, integrate, market, and service advanced systems used by leading chipmakers around the world. Our headquarters are in Veldhoven, the Netherlands, with multiple office locations across the United States.\nPosition Overview\nThis internship sits within the Customer Support and supply chain operations environment. The intern will work with supply chain professionals, business analysts, project managers, and operational leaders to analyze service ticket data, identify recurring issues, improve Ways of Working (WoW), and create clear technical documentation that supports sustainable process improvements.\nThe role combines data analysis, business storytelling, technical writing, presentation development, and stakeholder management. The intern will translate complex operational data into practical recommendations and establish a sustainable handoff process at the conclusion of the internship.\nYour Assignment\n· Analyze operational and supply chain ticket data to identify patterns, inefficiencies, root causes, and improvement opportunities.\n· Develop clear reports, presentations, process documentation, and recommendations for technical and non-technical audiences.\n· Collaborate with cross-functional stakeholders to validate findings and support implementation of process improvements.\n· Document and present project findings, outcomes, and recommendations in an end-of-internship presentation.\n· Create a repeatable process, reporting structure, and knowledge-transfer package that can be sustained after the internship.\nPrimary Project Scope\n· Perform ticket bucketing analysis to organize tickets into meaningful categories.\n· Create a bucket-level breakdown explaining why tickets were created.\n· Identify the top recurring ticket types and associated themes.\n· Determine which ticket types are the most time-consuming and assess their operational impact.\n· Draw conclusions from the analysis to identify opportunities for systematic process or Ways of Working (WoW) corrections.\n· Manage stakeholder alignment and collaboration to drive process improvements.\n· Formulate a proposal to correct identified gaps and improve operational efficiency.\n· Present the analysis, findings, and business implications to stakeholders.\n· Set up a sustainable reporting, documentation, and handoff process for use after the internship is complete.\nAdditional Responsibilities\n· Create dashboards, data visualizations, and concise management-ready summaries.\n· Write and update work instructions, process flows, standard operating procedures, lessons learned, and best-known methods.\n· Develop clear definitions, assumptions, data dictionaries, and analytical methodologies so results can be reproduced.\n· Assess current processes and documentation using continuous improvement principles such as Lean and root-cause analysis.\n· Partner with stakeholders across functions to verify data quality, test conclusions, and prioritize improvement actions.\n· Track recommendations, decisions, owners, and follow-up actions through project closeout.\nEducation and Experience\n· Currently pursuing a bachelor's degree or master's degree in Data Analytics, Data Science, Business Analytics, Business Management, Global Supply Chain Management, Operations Management, Industrial Engineering, Information Systems, or an equivalent discipline.\n· Proficiency with Microsoft Office applications, particularly Excel, PowerPoint, Teams, OneNote, and Word.\n· Coursework or project experience involving data analysis, business process improvement, technical writing, supply chain, or operations is preferred.\nSkills\n· Excel and analytical tools, including the ability to organize, clean, analyze, and visualize data.\n· Ability to use AI tools responsibly to support analysis, documentation, research, and productivity.\n· Strong presentation development and business storytelling skills.\n· Ability to draw clear, evidence-based conclusions and convert findings into actionable proposals.\n· Technical writing skills, with the ability to create accurate, structured, and user-friendly documentation.\n· Can-do attitude, curiosity, and willingness to learn.\n· Collaboration and stakeholder management skills across technical and business teams.\n· Ability to identify trends, bottlenecks, recurring issues, and improvement opportunities.\n· Attention to detail and a high degree of accuracy.\n· Ability to manage assignments independently, meet deadlines, and follow through with minimal supervision.\n· Clear, concise, and professional written and verbal communication.\n· Result-driven mindset with ownership and accountability.\nPreferred Technical Capabilities\n· Advanced Excel capabilities such as PivotTables, XLOOKUP, data validation, Power Query, and charts.\n· Experience with Power BI, Tableau, SQL, Python, or similar analytical tools is a plus.\n· Familiarity with process mapping, root-cause analysis, Pareto analysis, and continuous improvement methods is a plus.\n· Ability to structure technical content for different audiences, from process users to leadership stakeholders.\nWork Environment and Other Information\n· Work may involve extended periods of sitting, keyboard use, and collaboration in an office or site environment.\n· Occasional movement around the campus and lifting or moving items up to 20 pounds may be required.\n· The candidate must be authorized to work in the United States without the need for employer sponsorship.\nCompensation\nThe current hourly salary range for this internship is $18.00 to $56.00. Pay is determined by role, level, location, market alignment, job-related skills, relevant education and experience, certifications, abilities, and internal equity. A recruiter can provide additional information regarding applicable bonus programs, benefits, and equity during the hiring process.\nInclusion and diversity\nASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.\nNeed to know more about applying for a job at ASML? 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