{"id":3486184,"url":"https://alion.io/job/siemens-energy-operational-procurement-data-analytics-digitalization-trainee","title":"Operational Procurement – Data Analytics & Digitalization Trainee","company":{"id":1757061,"name":"Siemens Energy","domain":"siemens-energy.com","url":"https://alion.io/company/siemens-energy","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"intern","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":28000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T21:43:56Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T00:11:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job ID\n305116\nLocation\nMexico\nCiudad de Mexico\nMexico City\nCompany\nSiemens Gesa Renewable Energy, S.A. de C.V.\nOrganization\nWind Power\nBusiness Unit\nOnshore\nFull / Part time\nFull-time\nExperience Level\nStudent / Intern / Apprentice\nLet´s talk about you\nYour profile\nRecently graduated or completing a Bachelor’s degree in Data Analytics, Computer Science, Systems / Industrial Engineering, Information Technology, Business Analytics or a related STEM field.\nEntry-level profile, with no experience or approximately 6-18 months of relevant practical exposure (including internships, social service, residencies or academic projects).\nStrong Excel skills (lookups, PivotTables, formulas and structured data); analytical thinking and confidence working with business data and data-quality checks. Working knowledge or academic exposure to Power BI, Power Query, SQL / data queries, SAP, Microsoft Fabric and applied AI is highly valued. Curiosity and learning agility are more important than mastering every tool on day one.\nLanguages: Professional working proficiency in English; Spanish is required for collaboration across the Americas. Portuguese is a plus.\nClear written and verbal communication, organization, problem-solving, teamwork, integrity and an ownership mindset within a supervised scope.\nProject Name: Americas OPP / Data Intelligence & Automation\nYour Responsabilities\nMap and document selected procurement workflows, business rules, source systems, data owners and measurable starting baselines.\nPrepare, clean and reconcile approved datasets from SAP / Ariba or controlled extracts using advanced Excel, Power Query and basic SQL queries.\nDevelop and test Power BI dashboards and reusable Excel reporting models for agreed operational KPIs, with stakeholder guidance.\nExplore Microsoft Fabric data flows and one responsible AI-enabled analytics use case, subject to IT, data-access and security approvals.\nPartner with Procurement and process stakeholders on user testing, exception analysis, data validation and continuous-improvement opportunities.\nProduce user guidance, technical documentation, lessons learned and structured knowledge transfer, concluding with a formal project report\nLet´s talk about us\n\"Let's make a different tomorrow today\" is our true commitment at Siemens Energy to all customers and employees on the path to a sustainable and carbon-neutral future.\nOur Commitment to Diversity\nLucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, gender identity, sexual orientation or disability. 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