Junior AI & Automation Integration Analyst Job Zug area,Kanton Zug Switzerland,IT/Tech

About YES-EU

YES‑EU Group is a leading European service provider specializing in high‑voltage systems and battery technologies. Founded in Scandinavia and headquartered in Switzerland, YES‑EU operates a growing network of service centres across Europe – including Norway, Denmark, Finland, France, Germany, Iceland, Italy, Kosovo, Belgium, Sweden, Switzerland, the United Kingdom, and Ireland. With approximately 200 expert employees, many of whom are engineers, the Group is a pioneer in e‑mobility and battery servicing for public transportation.

YES‑EU is the official European service partner for CATL batteries and is actively developing advanced software solutions for battery management, energy storage systems (ESS), and electric bus applications. As the company accelerates its digital transformation and expands into new markets, it is investing in AI and automation to strengthen operational efficiency, service quality, and scalability across its pan‑European network.

Role Overview

We are looking for a motivated Junior AI & Automation Integration Analyst to support the deployment and integration of Artificial Intelligence and automation solutions across our organisation. Reporting to the Group's management team, this role sits at the intersection of technology and business operations, helping bridge the gap between emerging AI capabilities and day‑to‑day processes.

Key Responsibilities

AI Integration Support – Assist in identifying, evaluating, and deploying AI‑powered tools (e.g., generative AI, intelligent document processing, predictive analytics) into existing business workflows.

Robotic Process Automation (RPA) – Support the design, development, testing, and maintenance of RPA bots to automate repetitive, rule‑based tasks; identify synergies between RPA workflows and AI capabilities.

Process Analysis & Optimisation – Map existing business processes, identify automation opportunities, and propose AI/RPA solutions that improve efficiency, reduce errors, and enhance compliance.

Cross‑Functional Collaboration – Work closely with IT, operations, quality, and management teams to gather requirements, coordinate deployments, and ensure AI/RPA solutions align with business objectives.

Testing & Documentation – Develop test plans for AI and RPA implementations, document integration processes, configurations, and best practices to ensure knowledge transfer and continuity.

Monitoring & Continuous Improvement – Monitor the performance of deployed AI and RPA solutions, track KPIs, and recommend adjustments for optimal functionality.

Technology Watch – Stay up to date with the latest developments in AI, machine learning, and RPA technologies, and proactively propose new tools or approaches to the team.

Required

Skills & Qualifications

Education – Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
AI & Machine Learning Fundamentals – Understanding of core AI/ML concepts (e.g., natural language processing, predictive models, generative AI, RAG architectures).
Robotic Process Automation (RPA) – Familiarity with at least one major RPA platform (e.g., UiPath, Microsoft Power Automate, Automation Anywhere, or Blue Prism); ability to design and configure basic automation workflows and understand the convergence of RPA with AI for intelligent automation.
Programming & Scripting – Basic proficiency in Python or similar scripting languages for data manipulation, API integration, and automation tasks.
Analytical Thinking – Strong problem‑solving and process analysis skills, able to translate business needs into technical solutions.
Communication – Ability to communicate technical concepts clearly to non‑technical stakeholders and document processes effectively.
Languages – Fluent in English; additional European languages are a plus.
Microsoft Power Platform – Experience with Power Automate, Power Apps, and Power BI.
API Development & Integration – Exposure to REST APIs, connectors, and low‑code/no‑code integration tools such as Power Automate.
Cloud Platforms – Familiarity with Azure, AWS, or GCP.
Quality & Compliance Frameworks – Knowledge of ISO management systems…