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Data Engineer

Pubblicato il 02-10-2026 - Strategic Micro Systems of NJ in Agrate Brianza

OUR STORY
At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today.
Si assicuri di leggere attentamente le informazioni relative a questa occasione prima di inviare la sua candidatura.
When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+ diverse and dedicated creators & makers of technology around the world
Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential.
Working at ST means innovating for a future that we want to make smarter, greener, in a responsible and sustainable way.
Our technology starts with you. Join us and start the future
YOUR ROLE




Collaborate with HR Analytics team to create an HR reporting and projection tool in order to support better HR events analysis, decision making and forecasting, through:
- Design data flows according to business and HR reporting requirements;
- Implement data ingestion pipelines to import data from different sources;
- Implement data transformation workflows to ensure data quality, to normalize and standardize data, to aggregate it;
- Develop complex data analysis to transform data into actionable insights;
- Develop customized visualizations using PowerBI according to HR and business requests;
- Perform data analysis on specific topics;
- Implement data validation processes, uphold data quality control standards, devise testing strategies, and formulate test plans;
- Collect requirements from different stakeholders coming from ST locations worldwide;
- Fix, troubleshoot and solve bugs and issues.

YOUR SKILLS & EXPERIENCE
- Statistics & Advanced data analysis
- Das

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