- During your internship you will conduct in-depth analysis of existing data banks as well as reporting framework and extract key requirements from internal stakeholders.
- You will be responsible for the conceptual design of reports and their visualization within Splunk which will include new features and the detailed specification of logic and interfaces for the relevant toolchain.
- Furthermore you will also evaluate and visualize test data collect user feedback and incorporate necessary improvements.
- Finally you will ensure the sustainability of the implemented solution through thorough documentation.
Qualifications :
- Education: advanced Bachelor studies or Master studies in the field of Computer Science IT or comparable
- Experience and Knowledge: in SQL and programming languages like Java Python or similar; familiar with CI/CD pipelines e.g. Jenkins; knowledge of Splunk is an advantage
- Personality and Working Practice: you excel at analyzing data to create insightful reports working independently on projects and passionately learning new technologies to continuously improve your skills
- Languages: fluent in English German is an advantage
Additional Information :
Start: according to prior agreement
Duration: 6 months (confirmation of mandatory internship required)
We offer you
- 35 hours/week with flextime
- a permanent contact person who will accompany you during your internship
- a modern working environment as well as mobile working by arrangement
- the opportunity to become part of our student network Stuttgart
- discounts in our company restaurants
Requirement for this internship is the enrollment at university. Please attach your CV transcript of records enrollment certificate examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Felicitas Lang (Functional Department)
49 7
Xuhui Huang (Functional Department)
49 8
#LI-DNI
Remote Work :
No
Employment Type :
Full-time