Your responsibilities will be to:
1. Data Collection & Cleaning: Gather data from databases, APIs, and spreadsheets. Clean and preprocess raw data to ensure accuracy and usability. Develop machine learning models (e.g., regression, classification, clustering) to address business needs. Apply statistical techniques to validate results and ensure accuracy
2. Basic Analysis: Perform exploratory data analysis using tools like Excel, SQL, and Python/R to identify trends, patterns, and outliers
3. Reporting & Visualization: Assist in creating reports, dashboards, and visualizations (e.g., Tableau, Power BI) to communicate findings to stakeholders
4. Collaboration: Work with senior analysts and departments (e.g., Marketing, Operations) to understand data needs and deliver solutions. Translate complex technical concepts into actionable recommendations for non-technical audiences
5. Documentation: Maintain clear records of data sources, methodologies, and results
6. Continuous Learning: Stay updated on industry trends, tools, and best practices in data analysis
Our requirements:
7. Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field (or equivalent work experience).
8. Relevant experience of ideally more than 2 years in matching roles
9. Strong foundation in statistical analysis, combined with expertise in machine learning techniques—including supervised, unsupervised, and deep learning—and proficiency in data preprocessing and transformation
10. Proficiency in Excel and SQL
11. Familiarity with Python, R, or similar programming languages
12. Basic understanding of data visualization tools (e.g., Tableau, Power BI)
13. Proficient Italian and English language skill mandatory
14. Strong analytical and problem-solving abilities, combined with attention to detail and commitment to data accuracy
15. Skilled in conveying complex technical insights in a clear and accessible manner to non-technical stakeholders