Business Data Analyst (m/f/d)

**This position is based in Germany or the UK with hybrid or remote working options. Applicants must hold a valid work/residence permit for the respective location.**

Chaos is a leading global software company that provides world-class visualization and design solutions, empowering creative minds to bring ideas to life.

For over twenty years, Chaos has developed innovative technologies serving multiple industries, including architecture and design, media and entertainment, and product e-commerce. Chaos’ solutions help architects, designers, VFX artists/animators, and other creative professionals share ideas, optimize workflows, and create immersive experiences.

Headquartered in Karlsruhe, Germany, Chaos is a global company with offices in 11 cities worldwide. In 2022, Chaos and Enscape merged, bringing together two industry-leading companies into one. Since then, Chaos has continued to grow with the additions of Cylindo, AXYZ Design, and Evolve Lab, further expanding our expertise and solutions across architecture, design, e-commerce, and AI. For more information, please visit chaos.com.

Role Overview

The Business Data Analyst collects, analyses, and interprets data to produce insights that shape business decisions and drive performance improvement across multiple stakeholder groups. The role owns recurring reporting and complex ad-hoc analysis end to end and helps evolve the established reporting and data framework, partnering with Marketing, Sales, Finance, Operations, and Product teams as a trusted advisor to inform decision-making and improve efficiency. This role requires an experienced, analytically strong professional with a strong eye for data quality, who works independently on ambiguous problems, and uses AI tools to accelerate and improve analytical output.

Main Responsibilities

• Collecting data: Define data requirements with stakeholders and source, prepare and validate data from multiple systems and data sources, including where requirements are unclear or data spans several business areas.

• Analysing data: Clean, transform and analyse complex datasets to identify patterns, trends, root causes and insights, setting and upholding standards for accuracy and consistency of outputs.

• Delivering business insights: Summarise findings in clear, concise manner, explain what is driving business developments; flag risks and opportunities proactively; translate analysis into actionable recommendations and follow through on their adoption.

• Collaborating with other teams: Partner with Marketing, Sales, Finance, Operations and Product to understand and anticipate their data needs, act as a trusted analytical advisor, and balance competing priorities to provide timely support.

• Process improvement: Identify data quality, system and process improvement opportunities across the team’s areas of work, build the supporting business case, and drive implementation with the Business Analysis team and relevant stakeholders.

• Supporting change: Lead the rollout and adoption of new reporting, tools and processes: assess and document impacts, coordinate updates to affected deliverables, and guide stakeholders through the transition.

• Staying current: Keep up with developments in data analysis methods and tools. Champion the use of AI tools in daily work: data preparation, analysis, reporting, documentation and automation, to improve speed, depth and quality of output; identify and pilot new use cases, and share good practices with and coach colleagues across the team.