ppbSaipem /b 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: bAsset Based Services /b, bDrilling /b, bEnergy Carriers /b, bOffshore Wind /b, bSustainable Infrastructures /b, bRobotics Industrialized Solutions /b. Always oriented towards technological innovation, the company’s purpose is “bEngineering for a sustainable future /b”. 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 b50 countries /b around the world and employs about b30,000 people of over 130 nationalities /b. /ppAs bData Analyst /b, you will join the bSystems and Data Engineering Management (SYDEM) /b 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. /ppYou 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. /ppbHow can you support us? /b /pullibDesign, develop, and maintain data pipelines /b to ingest, transform, structure, and deliver datasets from multiple internal and external sources. /lilibEnhance data quality, reliability, and governance /b,



ensuring compliance with corporate standards, metadata requirements, and lifecycle management rules. /lilibCollaborate closely with data scientists, analysts, and engineering stakeholders /b to understand data needs, translate requirements into technical solutions, and support advanced analytics and reporting activities. /lilibImplement data cleaning, validation, and enrichment processes /b to deliver consistent, high‑quality datasets for engineering. /lilibContribute to documentation, standards, and best practices /b, promoting continuous improvement in data engineering methodologies within SYDEM. /li /ulpbEducation: /b Master's or bachelor's degree in Statistics, Engineering, Information Technology or Economics. /ppbTechnical Knowledge: /b /pulliCapability to translate data into insights using banalytical and statistical techniques /b. /liliAbility to design binteractive dashboards /b and visual reports in bPower BI /b /liliExperience creating analytical views based on datasets and data models. /liliAbility to work with both structured and unstructured datasets, applying advanced analytic logic. /liliSolid experience in bdata wrangling /b, transformation, aggregation, and preparation for analytics. /li /ulpbWhat we can offer to you: /b /pullibInternship /b /liliCorporate Benefits: We offer a comprehensive bbenefits package, including company gym and company canteen /b /lilibHybrid working model /b:



Lavoro da remoto options and flexible hours to help you achieve a better work-life balance. /lilibOur One Saipem Way soft skills /b model leverages on skills development, career growth, opportunities to innovate through complex challenges by promoting communication and collaboration to achieve common goals. /li /ulpbWe support your development! /b 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 ! /ppbWe embrace diversity! /b 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. /ppbSafety and Sustainability matter to us! /b 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. /ppbFind out more in our career page /b here band our Instagram profile /b here b. /b /ppbOne vision, many paths, limitless possibilities. /b /pp PRIVACY POLICY /pp 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). /ph3bApply now /b /h3pPlease start your application process. /ppbIMPORTANT: /buPlease upload a pdf version of your CV /u /pp(the system support also other format but pdf will enhance additional functionality which will support the Recruitment) /ppName * /ppSurname * /ppEmail * /ppMiddle Name (according to identity card) /ppSecond Surname (according to identity card) /ppI hereby acknowledge that I have opened, read and understood the Information Notice on the processing of personal data of Candidates /p /p #J-18808-Ljbffr

📌 Data Analyst internship (Milano)
🏢 Aretè & Cocchi Technology
📍 Milano