Data Analyst: BI Insights & Automation for Growth

G.D S.p.A, a Coesia company

Bologna

On-site

EUR 52,000 - 60,000

Full time

14 days+

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Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Data analysis
Analytical thinking
Problem solving
Communications
Team collaboration

Education

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

Tools

Power BI
Excel
SQL
Python
R

Job description

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

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