Data Analyst: BI Insights & Automation for Growth

G.D S.p.A, a Coesia company; Bologna; In loco; EUR 52.000 - 60.000; Tempo pieno

Descrizione del lavoro

G.D is seeking a data analyst to support the collection, cleansing, and validation of data from multiple business sources, ensuring accuracy and reliability across datasets, and to develop insightful reports and interactive dashboards using Power BI and Excel.

You will conduct exploratory data analyses to identify trends and opportunities, partner with cross‑functional teams to translate requirements into data insights, and help automate recurring processes with SQL, Python, and Excel to improve

Competenze

• Master’s degree in a quantitative field is required.
• Basic knowledge of Excel, SQL, and either Python or R; willing to develop skills.
• Interest in data analysis, digital technologies, and their impact on business performance.

Mansioni

• Support collection, cleansing, and validation of data from multiple sources.
• Develop insightful reports and dashboards using Power BI and Excel.
• Conduct exploratory data analysis to identify trends and opportunities.
• Partner with cross-functional teams to translate requirements into data insights.
• Contribute to automation of recurring reports using Excel, Python, and SQL.

Conoscenze

Data analysis

Analytical thinking

Problem solving

Communications

Team collaboration

Formazione

Master’s degree in Statistics, Economics, Engineering, Mathematics, or related quantitative field

Strumenti

Power BI

Excel

SQL

Python

R

Descrizione del lavoro

G.D is seeking a data analyst to support the collection, cleansing, and validation of data from multiple business sources, ensuring accuracy and reliability across datasets, and to develop insightful reports and interactive dashboards using Power BI and Excel.

You will conduct exploratory data analyses to identify trends and opportunities, partner with cross‑functional teams to translate requirements into data insights, and help automate recurring processes with SQL, Python, and Excel to improve