Our client is a regulated medical technology company. Its Learning Academy must prove in an audit that every employee in a quality-relevant role has completed their mandatory training — but after rapid growth, job code assignments in the LMS (SAP SuccessFactors) are misconfigured and training records are incomplete. An external audit follows in mid-November.
You will support an internal quality management colleague in analysing, cleaning and restructuring the data.
What you will do
- Analyse and clean training and assignment data in the client's LMS
- Review and correct job code configurations so that mandatory courses reach the correct roles and employees
- Reconstruct and validate training completion records, closing gaps in documentation
- Prepare the evidence and documentation for the November audit
- Document your work so the cleanup can be continued sustainably afterwards
What you bring
- Strong data analysis and data cleaning skills
- Confidence as a system user: training on the LMS is provided, but you pick up new systems quickly and work in them precisely
- Meticulous attention to detail and structured, analytical thinking
- An awareness of compliance logic: why documentation matters and what "auditable" means in practice
- University background, ideally in engineering or business administration, with a clearly analytical profile
- Business-fluent English or German, French is a Plus
- Workload: 60-100%
- Duration: ASAP until end of November
- Location: Basel, on-site at the start, largely remote thereafter
- Compensation: competitive hourly rate, to be agreed
Skills Required
- Strong data analysis and data cleaning skills
- Ability to learn and use new systems accurately and confidently
- Meticulous attention to detail and structured, analytical thinking
- Awareness of compliance logic and auditable documentation practices
- University background, ideally in engineering or business administration, with an analytical profile
- Business-fluent English or German
- French language skills
What We Do
ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.
