Darum lohnt es sich
Responsibilities
• Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
• Develop, validate, and implement statistical models to extract actionable insights from complex data.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
• Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
• Continuously improve analytical methodologies and automation processes to enhance data workflows.
Requirements
• Have strong relevant experience in statistics, mathematics, and data analysis techniques.
• Have proven experience in collecting, handling, and cleaning large, complex data sets.
• Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling.
• Possess strong data modeling skills with experience in building and validating predictive models.
• Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
