english
|
deutsch

Junior/Working Student in Process & Data Management (m|f|d) – Part-time, Location: Vienna

Your New Career Perspective

You want your work to make a real difference? Then you’re in the right place! Emergency services and medical professionals rely on our audiovisual systems – combining functional software with high-end hardware – to prepare for critical, life-saving situations. Our clients include universities, hospitals, and medical training centers. Through our work, we contribute to saving lives.

We are currently looking for a motivated addition to our data management & analytics team. Do you enjoy turning data into meaningful insights and gaining hands-on experience in ERP systems, process optimization, BI and analytics? Are you curious to understand how data flows through systems like Odoo and how it supports business decisions? If so, you might be exactly who we’re looking for. Send us your Application and take the next step in your career with us.

Home About us

Your Tasks

  • Improve and ensure efficient processes and high data quality across systems, with a strong focus on our ERP (Odoo) system and CRM (HubSpot)
  • Analyze and optimize existing processes to improve efficiency and transparency
  • Support different teams in developing Dashboards
  • Perform data analyses to support operational and strategic decision-making
  • Identify data inconsistencies and troubleshoot issues within our primary IT tools
  • Gradually take ownership of independent data and automation initiatives
  • Occasionally support our warehouse operations (picking, packing, etc.) to build a strong understanding of the connection between operational processes and system-based data entries

And This Is What You Bring

  • Currently enrolled in a degree program in Business Informatics, Business Administration or similar, ideally with a focus on Process Management or Analytics
  • Exposure to enterprise system tools such as Odoo or Hubspot
  • First practical experience with process management and ERP systems is a plus
  • Initial working experience in data analysis or BI environments is a plus (Tableau, Metabase, or Power BI)
  • Strong analytical thinking and a structured, solution-oriented working style
  • Excellent communication skills with the ability to explain data insights clearly to non-technical stakeholders
  • Proactive mindset and willingness to collaborate across teams
  • Fluent in English (mandatory); German is a plus

This Is What You Can Expect From Us

From 39,000.00 € Gross/Year

On full-time-basis; depending on qualifications and experience, with a clear willingness to overpay accordingly

ÖPNV Ticket

With an annual subscription to the Wiener Linien, you enjoy continuous mobility.

Lunch Menus

Dario and Federica treat us three times a week to Italian delicacies.

Plenty of Variety

We thrive in an exciting international atmosphere where new experiences await at every turn.

Great Place to Work

We know that a good working atmosphere is the basis of our shared success. And we live that every day.

Team Activities

Join our community and experience a variety of activities – from yoga and health initiatives to fun team events!

Leasing a Bike?

With SIMStation and LeaseMyBike, you can lease your own bicycle easily – and save on taxes through gross salary conversion.

Language Learning

Refresh your language skills with free access to Babbel.

And This Is How It Starts

  • Location: Vienna
  • Employment type: Part-time (20–25 hours per week), with flexible working hours that fit around your university schedule
  • Start date: As soon as possible
  • Please send your application documents to the attention of Ms. Katrin Grübl – ideally by email to jobs@simstation.com.
  • After you apply, you’ll receive feedback from us and an invitation to an online interview. The next steps in the application process include 1–2 on-site interviews. If the decision is positive, we’ll start the onboarding process right away.
  • We’re excited and look forward to getting to know you!

The SIMStation team gathered for a group photo outside, set against a scenic mountain backdrop.