Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$39к$47кмедиана$58к
48 в выборке
82
Хорошая вакансия
развернуть
Чётко очерченная стажёрская роль в крупной энергетической компании даёт практический опыт в аналитике и инструментах, связанных с ИИ, но без зарплаты сложно оценить условия оплаты.
Кликните для подробной информации
Зарплата не указанаПонятные задачиАктуальные инструментыКрупная компания
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Operational Procurement – Data Analytics & Digitalization Trainee (AI): Mapping procurement workflows and preparing, reconciling, and analyzing SAP/Ariba datasets to develop Power BI dashboards and Excel reporting models with an accent on data quality, operational KPIs, and digitalization. Focus on testing Microsoft Fabric data flows, exploring a responsible AI-enabled analytics use case, validating data with stakeholders, and documenting project outcomes.
Location: Mexico City, Mexico
Company
hirify.global develops energy solutions supporting a sustainable and carbon-neutral future, with operations involving more than 130 nationalities.
What you will do
Map and document selected procurement workflows, business rules, source systems, data owners, and measurable baselines.
Prepare, clean, and reconcile approved datasets from SAP, Ariba, or controlled extracts using advanced Excel, Power Query, and basic SQL queries.
Develop and test Power BI dashboards and reusable Excel reporting models for agreed operational KPIs with stakeholder guidance.
Explore Microsoft Fabric data flows and one responsible AI-enabled analytics use case, subject to IT, data-access, and security approvals.
Partner with Procurement and process stakeholders on user testing, exception analysis, data validation, and continuous-improvement opportunities.
Produce user guidance, technical documentation, lessons learned, structured knowledge transfer, and a formal project report.
Requirements
Recently graduated or completing a Bachelor’s degree in Data Analytics, Computer Science, Systems or Industrial Engineering, Information Technology, Business Analytics, or a related STEM field.
Entry-level profile with no experience or approximately 6–18 months of relevant practical exposure, including internships, social service, residencies, or academic projects.
Strong Excel skills, including lookups, PivotTables, formulas, and structured data.
Analytical thinking and confidence working with business data and data-quality checks.
Professional working proficiency in English and Spanish required for collaboration across the Americas.
Clear written and verbal communication, organization, problem-solving, teamwork, integrity, and an ownership mindset within a supervised scope.
Nice to have
Working knowledge or academic exposure to Power BI, Power Query, SQL or data queries, SAP, Microsoft Fabric, and applied AI.
Curiosity and learning agility; mastering every tool on day one is not required.
Portuguese language proficiency.
Culture & Benefits
Commitment to a sustainable and carbon-neutral future.
Inclusive environment focused on diversity and non-discrimination.
Collaboration across an international organization representing more than 130 nationalities.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →