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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

5Open Positions

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  • BI Analyst Trainee

    the LEGO Group
    Nyíregyháza, Hungary
    Found 1 month ago
  • Reporting Assistant (Sustainability)

    Lloyd's
    London, United Kingdom
    Found 2 weeks ago
  • STAGE - Chargé(e) de Conformité ESG / Devoir de Vigilance H/F

    Groupe Crédit Agricole
    Montrouge, France
    Found 1 month ago
  • Internships

    ANdAZ
    Amsterdam, Netherlands
    Found 1 month ago
  • Stagiair Mode & Duurzaamheid

    Wehkamp Retail Group
    Zwolle, Netherlands
    Found 2 months ago
  • Sustainability Accountant - Curricular internship

    Fater
    Spoltore, Italy
    Found 2 months ago

BI Analyst Trainee

the LEGO Group
Found 1 month ago
Location
Nyíregyháza, Hungary
Duration (Months)
9 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Excel
  • Word
  • Power Platform
  • Power Automate
  • Power Apps
  • Power BI
  • SQL
  • Lists
  • Databricks

Soft Skills

  • Ability to work effectively both independently and collaboratively
  • Strong attention to detail
  • proactive willingness to learn

Job Description

Assist the BI Analyst in building and maintaining innovative solutions, including reports, applications, and other business tools. Support in preparing, validating, and modeling data from diverse sources. Contribute to the creation of workflows and automations using Power Platform (Power Automate, Power Apps, Power BI). Document developed solutions for clarity and future reference. Ensure data accuracy and quality through rigorous validation. Conduct ad-hoc analyses to provide insightful answers to internal stakeholders. Improve existing solutions with focus on scalability, productivity and user-experience.

Requirements

  • Currently enrolled as a full-time, active student in Business, IT or a related field.
  • Advanced proficiency in Microsoft Office tools, including Excel and Word.
  • Foundational understanding of data modeling concepts, databases (SQL, Lists, Databricks, etc…) and best practices.
  • Be able to translate and conceptualize business needs into data-driven solutions and applications.
  • Interest to learn and understand manufacturing processes.
  • Ability to work effectively both independently and collaboratively.
  • Strong attention to detail and a proactive willingness to learn.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • manufacturing processes
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