Data Analytics Intern: Power BI & Python Insights (Milan)

ACIST Medical Systems, Inc.; Milano; In loco; EUR 6700 - 11.000; Tempo pieno

Descrizione del lavoro

Bracco is an international group active in the healthcare sector and a leader in diagnostic imaging. We are looking for a Data Analyst Intern based in Milan.

In this role, you'll play a relevant part in shaping data-driven strategies and optimizing operations across our organization. You'll join the Transformation & Performance Improvement team, develop analytics strategies, ensure data accuracy, identify trends, and support decision-making through Python, SQL, and Databricks.

Competenze

• Degree in Engineering, Statistics, or a related field.
• Hands-on experience with Power BI and related use cases.
• Proficiency in Python for data analysis, cleaning and visualization.
• Strong communication and collaboration skills.
• Fluent in English and Italian.

Mansioni

• Create and update Power BI reports, dashboards, and KPI views to monitor business performance and support decision-making.
• Perform exploratory and statistical analysis to identify trends, anomalies, and performance drivers, working with internal teams to translate business needs into actionable insights.
• Collect, clean, validate, and combine data from spreadsheets, databases, and operational sources, supporting repeatable data-preparation and ETL workflows using Python, SQL, and Databricks.

Conoscenze

Power BI

Python

SQL

Data analysis

Communication

English

Italian

Formazione

Engineering/Statistics degree

Strumenti

Databricks

Descrizione del lavoro

Bracco is an international group active in the healthcare sector and a leader in diagnostic imaging. We are looking for a Data Analyst Intern based in Milan.

In this role, you'll play a relevant part in shaping data-driven strategies and optimizing operations across our organization. You'll join the Transformation & Performance Improvement team, develop analytics strategies, ensure data accuracy, identify trends, and support decision-making through Python, SQL, and Databricks.