Data Analyst
Junior / Apprendista

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Saipem

Milano, Milano, Lombardia, Italia

Hybrid

Stage / Tirocinio

Engineering and Construction (Energy & Infrastructure)

Descrizione della Posizione Lavorativa

Join Saipem and help build a sustainable future. Saipem is a global leader in engineering and construction for the energy and infrastructure sectors, delivering complex onshore and offshore projects worldwide. About 30,000 people of more than 130 nationalities work in over 50 countries to support the energy transition toward Net Zero.

We are looking for a Data Analyst to join the Systems and Data Engineering Management (SYDEM) unit. In this position you will be responsible for preserving and improving data quality across both operational and analytical environments. Working alongside the functional data integration team, you will help design and implement data collection systems that guarantee the availability of robust datasets to streamline engineering processes and enable informed decision-making across the company.

You will contribute to ensuring data reliability, consistency and traceability across the full lifecycle of engineering activities and support the enhancement of the company’s digital capabilities.

Key responsibilities

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

Education, languages and technical profile

  • Education: Master’s or Bachelor’s degree in Statistics, Engineering, Information Technology or Economics.
  • Languages: Italian and English.
  • Technical knowledge:
    • Ability to translate data into insights using analytical and statistical techniques.
    • Experience designing interactive dashboards and visual reports in Power BI.
    • Experience creating analytical views based on datasets and data models.
    • Ability to work with structured and unstructured datasets and apply advanced analytic logic.
    • Solid experience in data wrangling, transformation, aggregation and preparation for analytics.

What we offer

This role is offered as an Internship. Saipem provides a comprehensive corporate benefits package, hybrid working options with flexible hours, and a development-oriented soft-skills model (“One Saipem Way”) that supports career growth, collaboration and innovation.

Location: Milan.

We invite you to apply even if your profile does not perfectly match the role but you believe you could contribute to the company’s future growth. We value diversity and inclusion, and safety and sustainability are core priorities in our operations.

Please consult our privacy policy for candidates (L. 903/03) regarding processing of personal data (art 13, 14 D.Lgs 196/03 and art 13 GDPR 679/16).

Your feedback matters: you can share your opinion via a short anonymous survey.

Benefits for employees

  • Corporate benefits: company gym and company canteen.
  • Hybrid working model: smart working options and flexible hours.
  • Soft-skills development and career growth opportunities via the One Saipem Way program.

Requisiti

Master's or Bachelor's degree in Statistics, Engineering, Information Technology or Economics. Languages: Italian and English.

Competenze richieste

  • Competenze professionali
  • Data pipeline development Data wrangling and transformation Data aggregation and preparation Power BI Data modeling and analytical views Statistical and analytical techniques Working with structured and unstructured data Data quality and governance
  • Competenze trasversali
  • Teamwork Communication Collaboration Problem solving Adaptability Attention to detail