• Education: Bachelor’s degree in a related field such as Data Science, Statistics, Mathematics, or Computer Science. A master’s degree is a plus.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and interpret data.
• Data Tools: Proficiency in data analysis tools such as Excel, SQL, and data visualization tools like Tableau or Power BI.
• Statistical Knowledge: Basic knowledge of statistical concepts and methods.
• Programming Skills: Familiarity with programming languages such as Python or R for data manipulation and analysis.
• Database Knowledge: Understanding of database management systems and data querying.
• Communication: Excellent communication skills, both written and verbal, to convey data findings effectively.
Qualifications
• Advanced Degree: A master’s degree in a related field is a strong qualification.
• Experience: Previous experience in data analysis or a related role is advantageous.
• Data Visualization: Proficiency in creating compelling data visualizations and dashboards for presenting insights to stakeholders.
• Advanced Analytics: Familiarity with advanced analytics techniques, including predictive modeling and machine learning, is a plus.
• Data Cleaning: Skill in data cleaning and preprocessing to ensure data accuracy and reliability.
• Problem Solving: Strong problem-solving abilities to identify data-related issues and propose solutions.
• Attention to Detail: Exceptional attention to detail to ensure data quality and accuracy.
• Time Management: Strong time management skills to meet project deadlines.
• Continuous Learning: A commitment to staying updated on data analysis techniques and emerging technologies in the field.
• Excellent written and spoken English; German is a plus.
English 
German