Data Analyst internship

Saipem is a global leader in the engineering and construction of major projects for the energy and infrastructure sectors, both offshore and onshore. Saipem is “One Company” organized into business lines: Asset Based Services , Drilling , Energy Carriers , Offshore Wind , Sustainable Infrastructures , Robotics & Industrialized Solutions . Always oriented towards technological innovation, the company’s purpose is “ Engineering for a sustainable future ”. As such Saipem is committed to supporting its clients on the energy transition pathway towards Net Zero, with increasingly digital means, technologies and processes geared for environmental sustainability. Listed on the Milan Stock Exchange, it is present in more than 50 countries around the world and employs about 30,000 people of over 130 nationalities .

As Data Analyst , you will join the Systems and Data Engineering Management (SYDEM) unit. In this role, you will be responsible for maintaining, enhancing, cleaning data across both operational and analytical environments. Working closely with the functional data integration team, you will contribute to designing and developing data collection systems, ensuring the availability of high-quality datasets that enable efficient engineering workflows and support informed decision‑making across the organization.

You will play a key role in ensuring data reliability, consistency, and traceability throughout the full lifecycle of engineering processes, contributing to the advancement of digital capabilities within the business.

How can you support us?

• Design, develop, and maintain data pipelines to ingest, transform, structure, and deliver datasets from multiple internal and external sources.
• Enhance data quality, reliability, and governance , ensuring compliance with corporate standards, metadata requirements, and lifecycle management rules.
• Collaborate closely with data scientists, analysts, and engineering stakeholders to understand data needs, translate requirements into technical solutions, and support advanced analytics and reporting activities.
• Implement data cleaning, validation, and enrichment processes to deliver consistent, high‑quality datasets for engineering.
• Contribute to documentation, standards, and best practices , promoting continuous improvement in data engineering methodologies within SYDEM.

Education: Master's or bachelor's degree in Statistics, Engineering, Information Technology or Economics.

Technical Knowledge:

• Capability to translate data into insights using analytical and statistical techniques .
• Ability to design interactive dashboards and visual reports in Power BI
• Experience creating analytical views based on datasets and data models.
• Ability to work with both structured and unstructured datasets, applying advanced analytic logic.
• Solid experience in data wrangling , transformation, aggregation, and preparation for analytics.

What we can offer to you:

• Internship
• Corporate Benefits: We offer a comprehensive benefits package, including company gym and company canteen
• Hybrid working model : Smart Working options and flexible hours to help you achieve a better work-life balance.
• Our One Saipem Way soft skills model leverages on skills development, career growth, opportunities to innovate through complex challenges by promoting communication and collaboration to achieve common goals.

We support your development! Do you feel you might not fit this role perfectly? If you think you can contribute to our business development in the future, don’t hesitate to apply anyway through our spontaneous application form !

We embrace diversity! At Saipem, we believe that innovation thrives through diversity. Our culture is built on mutual respect, collaboration, inclusion and the belief that our differences drive our progress.

Safety and Sustainability matter to us! Operating in difficult and at times extreme situations, the focus is always on the health and safety of people and the preservation of the natural ecosystem.

Find out more in our career page here and our Instagram profile here .

One vision, many paths, limitless possibilities.

PRIVACY POLICY

All interested candidates (L. 903/03) are invited to consult the privacy policy (art 13, 14, D.Lgs 196/03 and art 13 GDPR 679/16).

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