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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Summer Intern, APMO Data Analytics & Reporting

S&P Global
Found 1 month ago
Location
Gdansk, Poland
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Microsoft PowerPoint
  • Excel
  • ADO
  • Wiki
  • data visualization tools

Soft Skills

  • willingness to learn
  • positive service attitude
  • ability to work in a fast-paced, high-demand work environment
  • Excellent communication
  • strong interpersonal skills
  • Strong administrative
  • organizational
  • analytical skills
  • focused attention to detail
  • Ability to multi-task
  • preference and discipline to focus on a single task from start to finish

Job Description

The Agile Program Management Office Data Analytics & Reporting Intern will support the consistent execution of portfolio and project management practices within S&P Global Energy by gathering, documenting, and reporting operational data and analytics.

Requirements

  • currently pursuing a university degree in Business or STEM
  • Able commence your internship from 15th June to 21st August 2026 in our Gdansk, Poland office
  • A proven willingness to learn
  • positive service attitude
  • an ability to work in a fast-paced, high-demand work environment
  • Excellent communication and strong interpersonal skills
  • Strong administrative, organizational, analytical and technical skills
  • focused attention to detail
  • Experience with Microsoft PowerPoint, Excel, ADO, and Wiki and data visualization tools
  • Ability to multi-task when needed but also the preference and discipline to focus on a single task from start to finish

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Microsoft Fabric
  • Microsoft Power BI
  • Power Query
  • Python
  • Power BI
  • Confluence WIKI
  • AI
  • Microsoft Azure DevOps (ADO)
  • Data Management
  • Pandas and similar libraries
  • ETL tools
  • data pipeline concepts
  • semantic modeling
▶Apply Now

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