Working Student – Content and Data Management (all genders)

Description

We are looking for a Berlin-based detail-oriented Working Student (all genders) to support our Content Operations team in maintaining and managing digital product content.

In this role, you will help ensure that digital assets and product data are accurately maintained across our systems, enabling smooth campaign launches and consistent product information across markets. You will work with digital experience platforms such as CMS (Content Management Systems) and other content tools, contributing to keeping product and marketing content structured, reliable, and scalable.

Your work plays a key role in maintaining high data quality and supporting efficient content operations.

What you´ll do

In this role, you will support operational content processes and ensure high-quality product data across systems.

Operational execution

• Support content maintenance activities across digital platforms such as CMS, PIM, DAM, based on defined briefs
• Clean, archive, and reorganize assets according to guidelines provided
• Link assets correctly within the PIM environment after DAM upload
• Support additional operational content tasks such as migrations, content updates, testing, or data validation activities, bulk updates, and checking that content is published and displayed as per the briefs.

Quality & compliance

• Follow documented processes and governance rules carefully
• Maintain tracking documentation (e.g. Excel trackers for updates and changes)
• Perform peer quality checks before delivering tasks
• Identify and flag missing information or inconsistencies in briefs

Coordination & reporting

• Provide updates on task progress
• Escalate blockers early to help maintain timelines
• Document recurring issues to support process improvements

What success looks like in this role

• Deliver accurate uploads and content or product data updates
• Maintain correct linking between DAM and PIM systems with zero critical errors
• Complete tasks within agreed service-level timelines (SLA)
• Handle larger batches of tasks reliably without loss of quality
• Reduce rework through thorough quality checks
• Proactively identify recurring data inconsistencies or improvement opportunities

What you can offer

• Must be enrolled as a student in a German university for at least another year.
• Strong attention to detail, process orientation, and ownership of accurate, high-quality data
• Basic Excel and structured data skills, with the ability to understand relationships, dependencies, and troubleshoot issues
• Proactive communication when questions, blockers, or inconsistencies occur
• Good technical affinity with interest in digital systems, content tools, and AI-supported ways of working
• Comfortable reading documentation and applying defined guidelines carefully
• Ability to work independently after onboarding while knowing when to ask for support
• Above all, curiosity and genuine interest in learning how we work

Nice to have

• Experience with CMS Tridion, PIM, DAM, or similar systems
• Experience working with custom digital interfaces or content tools