Data Analyst - Intern

Lean Six Sigma Black Belt; Bologna; In loco; EUR 42.000 - 62.000; Tempo pieno

Descrizione del lavoro

G.D, headquartered in Bologna, Italy, is a leading high-tech machinery producer within Coesia. The role focuses on data collection, cleansing, and creating insightful dashboards to support decision-making.

You will partner with cross-functional teams, conduct exploratory data analysis, and automate reporting with Excel, Python, and SQL, leveraging Power BI to deliver actionable insights. The ideal candidate has a master's in a quantitative field, knowledge of Excel/SQL and Python or R, and

Competenze

• Master's degree in a quantitative field such as Statistics, Economics, Engineering, or Mathematics.
• Basic knowledge of Excel, SQL, and Python or R; willingness to develop further.
• Strong analytical thinking and problem-solving skills; curious and structured.

Mansioni

• Collect, cleanse, and validate data from multiple sources.
• Develop BI reports and dashboards using Power BI and Excel.
• Conduct exploratory data analysis to identify trends and drivers.
• Collaborate with cross-functional teams to translate needs into insights.
• Automate recurring reports with Excel, Python, and SQL.

Conoscenze

Power BI

Excel

SQL

Python

R

Data analysis

Dashboard reporting

Formazione

Master's degree in a quantitative field

Strumenti

Power BI

Excel

SQL

Descrizione del lavoro

About the Company

G.D is a leading organization headquartered in Bologna, Italy.

As a key player in the high-tech machineries production, we specialize in cutting-edge technologies, shaping the future of industrial automation.
Our business portfolio encompasses a wide range of innovative making and packing solutions, in particular for Modern Oral and Next Generation products.
We strive to continuously expand our offerings and enhance our capabilities to meet the evolving needs of our customers.

For more detailed information about G.D and its comprehensive business landscape, please visit www.gidi.it.

G.D is part of Coesia, a group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy. Coesia operates in 34 countries with 21 different companies and employs over 8,000 people as of 2026.

About the Role

Main responsibilities:

• Support the collection, cleansing, and validation of data from multiple business sources, ensuring accuracy, consistency, and reliability across datasets.
• Develop insightful reports and interactive dashboards using Business Intelligence tools such as Power BI and Excel, transforming data into meaningful information that supports business decisions.
• Conduct exploratory data analysis to identify trends, patterns, anomalies, and opportunities, helping stakeholders gain a deeper understanding of business performance and key drivers.
• Partner with cross-functional teams to understand their information needs, translating business requirements into actionable data insights and reporting solutions.
• Contribute to the automation of recurring processes and reporting activities through Excel, Python, and SQL, improving efficiency, scalability, and overall data quality.

What You Need to Be Successful

• Master's degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative field.
• Basic knowledge of Excel, SQL, and either Python or R, with a willingness to further develop technical and analytical skills.
• A genuine interest in data analysis, digital technologies, and the role they play in driving business performance and innovation.
• Strong analytical thinking and problem-solving skills, with the ability to approach complex challenges in a structured and curious way.
• Good command of the English language, both written and spoken, enabling effective collaboration in an international environment.

Join the Team!

Coesia is an equal opportunity employer. We believe in fair, merit-based recruitment and assess all candidates exclusively on the basis of their qualifications, skills, experience and suitability for the role.