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11 дней назад

Working Student - Finance Digitalization, AI and Data Engineering

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Working Student - Finance Digitalization, AI and Data Engineering (Finance Digitalization/Data Engineering): Supporting finance reporting, forecasting, automation, cost transparency, and data-driven decision-making with an accent on Power Apps, Power BI, Alteryx, Snowflake, and Snowflake Cortex. Focus on preparing data, building dashboards, improving data quality, exploring Generative AI use cases, and collaborating with Finance and IT stakeholders.

Location: Bucharest, Romania; hybrid remote/office arrangement.

Company

hirify.global develops energy systems and grid technologies supporting reliable, sustainable, and affordable energy.

What you will do

  • Support finance digitalization projects through analysis, testing, documentation, presentations, and project materials.
  • Contribute to automation and process improvement using Power Apps, Power BI, and Alteryx.
  • Prepare data, reports, and dashboards and support data quality activities for business decision-making.
  • Support Snowflake-based analytics and data initiatives.
  • Explore practical finance use cases for Microsoft Copilot, Generative AI, and Snowflake Cortex.
  • Collaborate with Finance, IT, and business stakeholders while maintaining training materials and knowledge repositories.

Requirements

  • Currently enrolled in a Master's program in Data Science, Business Analytics, Computer Science, Business Informatics, Economics, or a related quantitative field.
  • Basic knowledge of data visualization, SQL, databases, reporting tools, or cloud data platforms such as Snowflake.
  • Interest in automation, analytical programming such as Python or R, and emerging AI technologies.
  • Strong analytical and communication skills, attention to detail, and proficiency in Microsoft 365 applications.
  • Fluent English is required.
  • Curiosity, eagerness to learn, and a proactive mindset demonstrated through projects, hackathons, student organizations, or similar activities.

Nice to have

  • Initial experience from internships, working student roles, academic projects, or personal initiatives in data analysis, reporting, automation, or analytics.
  • German language skills.

Culture & Benefits

  • Collaboration with Finance, IT, digitalization experts, and data specialists.
  • Training opportunities and learning support.
  • Meal tickets and a medical subscription.
  • Private Pension Pilon III.
  • Bookster access and wellbeing initiatives.
  • Work in a diverse organization with employees from more than 90 countries.

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