Focus on turning data into profitability-improving actions
Analyze performance, identify improvement opportunities, and support decisions related to pricing, cost optimization, and resource allocation
Engage with stakeholders, ask the right questions, and continuously improve how data and analysis are used to support profitable business outcomes
Design structured datasets and models together with IT
Analyze financial and business data to identify trends, drivers, and deviations
Explore and apply AI and advanced analytics tools to improve efficiency, quality, and insight
Ensure data quality, consistency, and “single source of truth” across reports and forward looking analyses
Build, maintain, and continuously improve reports and dashboards for decision-making
Collaborate closely with controllers and business stakeholders to understand their needs and translate them into meaningful analysis
Support controllers with deeper analysis, scenario modelling, and ad hoc business questions
Communicate insights clearly and confidently to non-financial stakeholders
Identify opportunities to automate recurring analyses and reporting

Relevant academic background ( e.g. finance, economics, data, engineering, or similar)
Initial experience and/or strong interest in data analysis, reporting, or finance, with practical experience or curiosity towards modern AI tools
Experience with BI tools ( e.g. Power BI), Excel, and data handling
Competence in AI-assisted analytics and vibe coding, enabling fast experimentation, insight generation, and data tool development, with a strong foundation in SQL and Python
Ability to interact confidently with controllers and business stakeholders, and explain data-driven insights in a clear and structured way
Capability and proof of use-cases with AI, automation, and new analytical tools
Analytical mindset with a willingness to challenge numbers and ask “why”
Structured, proactive, and collaborative way of working
Fluency in English

Data Analyst, Controlling

Key skills