At a Glance
- Tasks: Launch your product career by working hands-on across the entire product cycle.
- Company: Join Matchspace Music, Europe's leading music education platform.
- Benefits: Work directly with the VP Product and gain full exposure to product challenges.
- Other info: High visibility role with exciting international career growth opportunities.
- Why this job: Be part of an AI-first culture and make a real impact in music education.
- Qualifications: Relevant degree and a passion for data-driven problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
Launch your product career at Europe's leading music education platform. Matchspace Music is Europe's leading music education platform. We help thousands of music teachers build sustainable careers from teaching, and we are scaling fast across international markets. You will work directly with our VP Product. This is a role for someone hungry. You want to see how a product is discovered, specified, built, shipped, measured and improved, and you want to be hands-on across the whole cycle. Everything we build follows one cycle: build, measure, learn, repeat. We are looking for a sharp analytical mind that is also creative in solving problems and providing fresh insights. In return you get a front-row seat in building AI-powered platforms, an AI-first way of working, and high visibility to the leadership team as we grow internationally.
Tasks
- Feature conceptualization. Turn evidence into product ideas. You will run the full loop, from insight, to concept and options, to a sprint-ready story, and back to the data to see whether it worked.
- Requirements engineering. Turn customer insights and support feedback into clear, buildable user stories with business context, acceptance criteria and edge cases. Own the qualification funnel so nothing rots and no ticket enters a sprint under-specified.
- Sprint operations. Run backlog hygiene, standup and review mechanics, dependency flags and blocker tracking with our development team, so decisions get made once and stay made.
- UAT, QA and testing. Own regression and release testing. Reproduce defects properly, keep the bug board honest, and support UAT and end-to-end dry runs.
- Analytics and performance measurement. Own recurring KPI reporting across our tool stack, close measurement gaps, and turn funnel and cohort data into insight the team acts on. Every feature we ship is measured against the question: did it work? What was the impact?
Requirements
- A relevant degree in business engineering, IT, information systems, digital business administration, or a related field, whether ongoing or recently completed.
- Analytical and creative. You enjoy digging into data to find the real problem, and you are creative about how to solve it. Build-measure-learn is how you already think.
- Structured and detail oriented. You find clean documentation and reproducible analysis satisfying, not tedious.
- Comfortable with data. Excel/Sheets at a solid level, able to read dashboards, willing to learn fast.
- Comfortable and confident with software development technicalities, with viewing software code and understanding code with the help of AI.
- Proficient in German (min. B2) and English (C1). You can write a requirement someone else can build from. Your main operating language is English. German is essential for our Swiss home market.
- Already using AI tools in your daily productivity workflow and genuinely curious about how software gets built.
- Self-managing in a fast-moving, distributed team.
- Nice to have Agile/Scrum exposure, ticket systems, manual QA or test-case experience, and an interest in music, education or marketplaces.
Benefits
- Work directly with the VP Product in a dynamic, cross-functional team spanning Product, Marketing and Customer Success.
- Full end-to-end exposure: discovery, requirements, delivery, release, measurement and growth.
- A front-row seat at Europe's leading music education platform, with real breadth across very different product challenges.
- A modern, AI-first working culture.
- A high-visibility talent role with direct exposure to the leadership team and an attractive international career trajectory as we scale.
Start: 15 September 2026
Product & Business Analyst employer: Matchspace (Music) AG
At Matchspace Music AG, we pride ourselves on being a leading employer in the music education sector, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment where your contributions directly impact our mission. Located in a vibrant hub of creativity, you will thrive in a role that not only challenges you but also allows you to make meaningful advancements in AI-driven product development.
StudySmarter Expert Advice🤫
We think this is how you could land Product & Business Analyst
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Matchspace (Music) AG!
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Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
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We think you need these skills to ace Product & Business Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Matchspace (Music) AG, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Matchspace (Music) AG
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Matchspace (Music) AG’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
