Intern – Data Analyst – 2026
Pubblicato il 10-09-2026 - Baker Hughes in Firenze
Would you like the opportunity to work in a global energy company?
Do you enjoy taking on challenging projects?
Join our innovating Internship Program
The Baker Hughes Internship is designed to enable students either pursuing a
Bachelors’ or Masters’ degree or recently graduated to gain hands-on work
experience as the foundation of their professional lives. Our internships will
give you first-hand insights into the processes, systems, and practices that are
aligned to ensure customer needs are met through flawless execution and the
application of leading-edge technology.
Partner with the best
You’ll participate in focused training, and team meetings, work on projects, and
present your results. During your internship, you will be supported by a buddy
and your manager who will ensure you have a valuable learning experience. You
can expect to receive coaching and mentoring to enable you to complete
assignments and projects to develop your learning and skillset.
You will also have the opportunity to become familiar with the Health, Safety,
and Environment (HS&E;)
and culture of Baker Hughes. as well as our strong
commitment to diversity, equity and inclusion.
The Data Analyst Intern support the Aeroderivative Engines team in data analysis
and process improvement activities. The intern will assist in managing internal
databases, developing tools, and preparing reports that support the full project
lifecycle—from early tendering phases to final customer delivery.
This internship offers the opportunity to work in a technical and international
environment, building strong analytical and organizational skills within the
aeroderivative engines domain.
As a Data Analyst Intern, you will be responsible for:
* Support the update and maintenance of the GTE Aero Engines database.
* Contribute to the creation of standard reports and dashboards for project
support.
* Collaborate in the improvement of processes and data‑driven tools used by the
team.
* Analyze large datasets