Data Insights Analyst - Power BI, SQL & Python

Lean Six Sigma Black Belt

Bologna

In loco

EUR 42.000 - 62.000

Tempo pieno

8 giorni fa
Generatore di candidature

Ottieni una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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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

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

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