About Us
We are at the center of the big data revolution, realizing innovative project business based on extensive data sets. With our data-driven analyses and solutions, the company is an indispensable partner for our customers. Our team decodes complex data worlds, recognizes patterns and correlations, and thus creates transparency in dynamic automotive markets.
To further expand the success of the team near Berlin, we are looking for a reflective and analytical Computer Scientist, Business Information Scientist, Data Scientist, Mathematician (m/f/d) – or a comparable qualification as
Big Data Senior Analyst, Senior Business Analyst
Automotive Sector (m/f/d)
Your Tasks as Senior Big Data Analyst, Senior Business Analyst (m/f/d)
The position offers a clear development perspective towards team leadership. The working model is intentionally designed to be flexible: Two days in the office and three days in the home office are an integral part of the collaboration.
- You dive deep into large data sets and extract relevant information using database queries, AI, and BI methods
- You process data efficiently, integrate it into customer systems, and ensure high data quality
- You identify trends, patterns, and correlations in the data and derive resilient insights from them
- You interpret and evaluate analysis results, draw sound conclusions, and make them usable for decision-making
- You use your analyses to optimize customer business processes based on data
- You present results clearly, concisely, and target-audience-oriented to relevant stakeholders
- You advise customers on the application and added value of big data analytics in their respective market environment
Your Profile as Big Data Analyst / Business Analyst (m/f/d)
- Completed university degree in the field of Business Informatics, Computer Science, Mathematics, Business Mathematics, Statistics, or a comparable discipline
- Several years of professional experience in the field of Data Science / Data Analytics as well as with relational databases and NoSQL databases are desirable
- Knowledge in the application of statistics or data mining software (e.g., Python, SPSS, R)
- Confident handling of methods for data analysis, data preparation, and modeling of large data volumes
- Confident, professional appearance in customer contact as well as a goal-oriented, diligent, and independent way of working