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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

22Open Positions

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Working Student – Data & CRM Automation (m/f/d)

Scalefree
Found 2 months ago
Location
Hanover, Germany
Time
Part-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Information Systems
  • Computer Science
  • Business Administration
  • IT/Digital focus
  • CRM systems
  • Salesforce
  • Data Vault 2
  • Big Data technologies
  • cloud solutions
  • Microsoft
  • Snowflake
  • AWS
  • source systems

Soft Skills

  • Process Mindset
  • Analytical Spirit
  • communicating your findings to the team
  • ambitious

Job Description

As a Working Student, you will dive deep into the world of automation and data-driven decision-making across these key areas: * Internal CRM Power-User (Salesforce): Your primary focus will be our internal environment. You will analyze, design, and implement automation within Salesforce to ensure our own team operates at peak efficiency. * Business Process Excellence: You will help us capture and model complex business processes, identifying bottlenecks and finding ways to increase value for our clients. * E2E Integration: You’ll learn how to integrate End-to-End processes across diverse system landscapes, ensuring data flows seamlessly from start to finish. * AI Implementation: You won’t just talk about the future; you’ll help us apply Artificial Intelligence (AI) concepts to develop smart, innovative solutions.

Requirements

  • Current Studies: You are enrolled in Information Systems, Computer Science, Business Administration, or a similar field with an IT/Digital focus.
  • Process Mindset: You can look at a workflow, question how it works, and document it clearly.
  • Salesforce Ambition: You have a basic understanding of CRM systems. Prior experience with Salesforce (via Trailheads, internships, or personal interest) is a huge plus.
  • Analytical Spirit: You love breaking down complex problems and are comfortable communicating your findings to the team.
  • Availability: You are available to support us for 16–20 hours per week (with flexibility during exam periods).

Related Field

  • Software Engineering

Related Subfield

  • AI/ML/GenAI Engineering

Languages

  • English

Nice to Haves

  • Salesforce (via Trailheads, internships, or personal interest)
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