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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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SAP iXp Intern - IT Data & Analytics Associate

SAP
Found 1 month ago
Location
Prague, Czechia
Time
Part-time
Work Mode
Hybrid
Salary
paid
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • SAP Analytics Cloud
  • Microsoft 365
  • Microsoft Excel
  • databases
  • data modeling techniques
  • SAP Analytical Solutions
  • AI
  • predictive analytics
  • machine‑learning models

Soft Skills

  • analytical skills
  • abstract thinking
  • communication skills
  • presentation abilities
  • collaborative attitude
  • takes initiative
  • perseveres
  • stays curious
  • spirit of innovation

Job Description

In this role, you will maintain and enhance data models in SAP Analytics Cloud, supporting key financial planning processes and collaborating closely with colleagues on a variety of tasks such as building, preparing, testing, and maintaining SAP Analytics Cloud dashboards. You will have the opportunity to learn how to develop analytic solutions tailored to business requirements and gain hands-on experience applying business AI, predictive analytics, and machine‑learning models. A core part of your work will be to continuously drive process simplification with the goal of improving customer experience and increasing adoption of our solutions. You will explore new and creative ways to solve SAP business challenges by bringing a spirit of innovation, and contribute to the evolution of our analytical capabilities.

Requirements

  • Active university student status
  • Proficiency in Microsoft 365 with strong Microsoft Excel skills is beneficial
  • Good knowledge of databases and data modeling techniques or experience with SAP Analytical Solutions is a plus
  • Strong analytical skills and the ability to think abstractly
  • Effective communication skills, both written and verbal, alongside presentation abilities
  • Collaborative attitude towards internal customers

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • German
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