Job Description

Intern, Knowledge & Automation (CAS-Wiki, Share-Point, Power Automate, ServiceNow)

The Working Student – Knowledge & Automation supports the CAS team by keeping CAS-Wiki and SharePoint spaces accurate, well structured, and easy to navigate. The role improves operational efficiency by automating recurring document and reporting tasks using scripting and Microsoft Power Automate. In addition, the student maintains inventories and data mining views to increase transparency across assets and documentation, supports ServiceNow (SNOW) form and process optimisation to enhance user experience and data quality, and contributes to SES–Intelsat tooling consolidation and migration work by supporting inventories/mappings, migration readiness, and validation.

PRIMARY RESPONSIBILITIES / KEY RESULT AREAS

• CAS-Wiki & SharePoint content operations (30%): create/update pages, structure spaces/libraries, improve navigation, apply templates, and ensure versioning and basic governance.
• Document automation & scripting (25%): automate repeated tasks (e.g., document generation, naming/filing, metadata updates, exports) using Power Automate and scripts (e.g., PowerShell/Python) with clear logging and documentation.
• Inventory & data mining (20%): maintain inventories (assets/documents/knowledge items), consolidate data sources (Excel/CSV/SharePoint lists), build lightweight dashboards or views, and identify data-quality gaps.
• ServiceNow (SNOW) support (15%): help optimise CAS forms and processes (fields, validation, routing), support testing in non-production, and contribute to continuous improvement items.

· SES–Intelsat tooling consolidation & migration support (selected strategic platform): prepare inventories/mappings, support data/content migration activities, coordinate cutover readiness tasks, and validate outcomes with stakeholders.

• Quality, documentation & stakeholder support (10%): write how-to guides, support users with FAQs, and coordinate improvements with the CAS team and IT stakeholders.

COMPETENCIES

• Knowledge management: ability to structure information, write clearly, and apply consistent templates/taxonomies.
• SharePoint Online fundamentals: lists/libraries, permissions basics, metadata, views, versioning.
• Automation mindset: experience or strong interest in Microsoft Power Automate (triggers, approvals, connectors) and understanding of error handling.
• Scripting & data handling: basic PowerShell and/or Python, comfortable with CSV/Excel and data cleanup.

· ServiceNow familiarity (advantageous): forms, catalog items, workflows, basic ITSM concepts.

• Quality & confidentiality: careful handling of internal data, attention to detail, and willingness to follow processes.
• Collaboration: proactive communication, ability to work with stakeholders and incorporate feedback.

QUALIFICATIONS & EXPERIENCE

• Enrolled student (Bachelor or Master) in Computer Science, Information Systems, Data/Analytics, Engineering, or similar.
• Hands-on experience with Microsoft 365 (SharePoint/Teams/OneDrive) and strong general IT affinity.
• First experience with automation (Power Automate, PowerShell, Python, VBA, or similar) is required.
• Comfortable working with structured data (tables, Excel, CSV) and documenting changes.
• Experience with ServiceNow and/or wiki platforms is an advantage.
• Language: English required; additional languages are a plus.

OTHER KEY REQUIREMENTS / COMMENTS

• Key deliverables/KPIs: reduced manual effort through automation (hours saved), improved data quality (completeness/accuracy), and improved discoverability of knowledge (updated pages, structured libraries).
• Main interfaces: CAS team members, process owners, ServiceNow platform/support team, and Microsoft 365/SharePoint administrators.
• Projects: automated document intake & filing flow; CAS-Wiki template rollout and content cleanup; SharePoint inventory list with scheduled reporting; SNOW form field optimisation and validation improvements; SES–Intelsat tooling consolidation and migration support (inventory/mapping, migration readiness, data/content migration support, and validation).

SES and its Affiliated Companies are committed to providing fair and equal employment opportunities to all. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law.

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