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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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  • Trainee – People Analytics (Pulse Survey Focus)

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    Found 1 week ago
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  • E-Commerce Copy & Language Service Intern

    Kering
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Trainee – People Analytics (Pulse Survey Focus)

Deutsche Telekom IT Solutions HU
Found 1 week ago
Location
Remote, Hungary
Time
Full-time
Work Mode
Remote
Salary
Not disclosed
Visa Help
Only EU/EEA
Last Verified
1 week ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Excel
  • macros
  • Power BI

Soft Skills

  • analytical mindset
  • passion for working with data
  • structuring data
  • telling stories through visuals
  • Detail-oriented
  • proactive
  • able to work independently
  • curiosity
  • learning mindset

Job Description

We are looking for a motivated and data-savvy trainee to join our global People Engagement team. In this role, you will support our Pulse Survey efforts from a data analytics perspective—turning survey results into actionable insights that help drive positive change across the organization. Your Responsibilities * Develop and maintain reports and dashboards using Excel (incl. macros) and Power BI * Analyze Pulse Survey data to uncover trends, patterns, and actionable insights * Conduct deep dives into specific business units, countries, or topics as needed * Visualize findings in a clear and compelling way, including PowerPoint presentations for HR and business stakeholders * Support coordination tasks related to the Pulse Survey (e.g. access management)

Requirements

  • active student status (under age of 25 can be also passive)
  • minimum 20-25 hours of work per week (35-40 hours is a plus)
  • Strong analytical mindset with a passion for working with data
  • Advanced skills in Excel (including macros) and Power BI
  • Confident in structuring data and telling stories through visuals
  • Detail-oriented, proactive, and able to work independently
  • No HR knowledge required—curiosity and learning mindset matter most
  • Fluency in English is essential; German is a plus

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • German
▶Apply Now

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