Senior Data Analyst (m/f/d)
Working model: hybrid in Munich
Salary: Depending on experience, approx. €70,000 – €100,000 p.a.
About our client
Our client is an established, growth-oriented technology company with a digital business model. Data plays a central role in improving products, internal processes and strategic decision-making.
The data team works closely with various business functions as well as technical teams and develops analytical solutions that are actively used across the company. The focus is not only on reporting, but also on building scalable data models, analytical frameworks and data-driven decision foundations.
We are looking for an analytically strong person who combines technical depth, business understanding and clear communication.
Your profile
- You have several years of experience as a Data Analyst, Product Analyst, Business Analyst, or in a comparable analytics role with strong business exposure
- You have delivered analyses or analytics products that influenced concrete business decisions or created measurable business impact
- You have very strong SQL skills and experience working with databases, data warehouses, or modern analytics stacks
- You can structure complex business questions, identify relevant data sources, and turn your findings into clear recommendations for stakeholders
- You communicate very strongly in English and can explain projects both clearly to business stakeholders and in technical depth when needed
- You have experience working with Product, Operations, Sales, Marketing, Customer Support, or similar business teams
- You think entrepreneurially, work pragmatically, and see data as a means to solve real business problems
- You bring strong ownership, enjoy learning new tools and technologies, and have a clear maker mindset
- You ideally have experience in Tech, E-Commerce, Marketplace, Travel, SaaS, Product Analytics, or a similarly data-driven environment
- Experience with Python, dbt, Airflow, AWS, Looker, or comparable tools is a plus, but what matters most is that you use technical skills to create business impact
- Experience with AI tools such as Claude, ChatGPT, Copilot, or similar solutions in an analytics context is a strong plus
- You have a thoughtful perspective on how AI is changing the work of Data Analysts and how modern tools can be integrated meaningfully into analytics workflows
Your responsibilities
- You analyze complex business questions and translate them into clear analytical concepts, decision frameworks, and actionable recommendations
- You work closely with stakeholders across Business, Operations, Product, Sales, Customer Support, and Data Engineering to understand which decisions your analyses should support
- You identify performance drivers, optimization opportunities, and relevant patterns in data to improve processes, products, and operational workflows
- You develop analytics solutions, frameworks, and data products that go beyond dashboards and are actively used in day-to-day business decision-making
- You define and challenge KPIs, create clear metric definitions, and ensure that business teams work with consistent and reliable decision-making foundations
- You own analyses end-to-end: from problem definition, data exploration, SQL analysis, and modeling to presenting insights and recommendations to stakeholders
- You communicate your findings clearly and in a structured way: starting with the business context and impact, then going into technical depth when needed
- You collaborate with Data Engineers to build reliable data sources, clean data models, and scalable analytics structures
- You use modern analytics and AI tools to make analysis more efficient, test new approaches, and create better decision-making support
- You take ownership of your projects, prioritize pragmatically using an 80/20 mindset, and ensure your work creates measurable business impact
Interested? Feel free to reach out to me:
Constantin Clodius
Mobile: +49 170 3660753
E-Mail: [email protected]