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# Junior AI & Business Analyst

- **Company:** Mister Spex GmbH
- **Location:** Berlin, Germany
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Infrastructure, Python (Programming Language), Power BI, SQL Databases, Information Technology, Data Analytics
- **Published:** September 1, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=20f87063239c988f

## About the Role

* A completed degree in Data Science, Computer Science, Business Informatics, Business Administration with an analytics focus (or a comparable field)
 * Strong interest in data analytics, business intelligence, and artificial intelligence
 * Demonstrated AI curiosity through personal projects, coursework, practical applications, or the active use of AI tools
 * An analytical mindset combined with a proactive, hands-on approach to problem-solving
 * Eagerness to learn, ask questions, and grow within a highly collaborative team environment
 * Experience with Power BI (or other BI tools) as well as Python and/or SQL is a plus
 * Professional fluency in English; German is a plus

## Description

At Mister Spex, we're leveraging data, business intelligence, and AI to drive smarter decisions across the organisation. As a Junior AI & Data Analyst, you'll support the development of AI-powered solutions, contribute to our reporting landscape, and help generate insights that create real business value.

Working alongside experienced analytics professionals, you'll gain hands-on experience in automation, reporting, and emerging AI technologies while continuously developing your skills.

How you contribute

 * Maintain and continuously improve our dashboard and reporting landscape
 * Support the development of AI-powered agents and analytics solutions within existing frameworks
 * Collaborate with stakeholders across the business to deliver data-driven insights and ad hoc analyses
 * Help automate analytics processes and enable scalable reporting capabilities across departments
 * Contribute to the evolution of our data infrastructure, KPI governance, and data quality processes
 * Learn from senior team members and actively participate in shaping innovative AI and analytics use cases for the business