Data & Reporting Specialista (FAP-BC-DL-2026-203-GRAE) — CERN

NuovoCHF 60'500 - 91'500
CERN · Geneva, GENEVA, Switzerland (GE)
Categoria: Altro Contratto: full-time Salario: CHF 60'500 - 91'500
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Località
Genève
Contratto
full-time
Pubblicato
Ieri
SalarioCHF 60'500 - 91'500

Panoramica

Are you passionate about data, problem-solving, and turning complex information into clear insights?

Do you enjoy maintaining and improving data systems, from legacy databases to modern reporting platforms?

Join our agile, self-organised team of engineers to help maintain and develop CERN's Corporate Information Systems!

Responsabilità principali

  • Your responsibilities:
  • Extract, transform, model, and visualise data in reports, dashboards, and analytics platforms;
  • Interact with relational databases, mainly Oracle, using SQL and PL/SQL;
  • Develop, maintain, and test reporting data models and semantic models supporting CERN's Finance and Procurement systems;
  • Maintain, support, and enhance existing reporting and data solutions while helping define and implement their future evolution;
  • Contribute to data profiling, mapping, quality checks, validation, and reconciliation activities during migration and transition phases;
  • Contribute to the development and maintenance of ETL/ELT pipelines and other data-processing activities where required;
  • Collaborate with business users, functional experts, architects, and developers to ensure data consistency, usability, and technical feasibility;
  • Support testing, troubleshooting, documentation, maintenance, and third-level support for reporting and data solutions.

Requisiti principali

  • Data Analysis & Reporting:
  • Experience in SQL (writing, optimising, debugging complex queries).
  • Familiarity with data visualisation or analytics tools such as Power BI, R, or Python-based dashboards.
  • Understanding of data modelling principles (dimensional/star schema design, semantic models, data warehouses).
  • Experience analysing data structures, flows, and dependencies in complex enterprise systems. Data Engineering:
  • Exposure to data pipeline concepts and tools such as SQL, dbt, Airflow, or Python for data processing.
  • Interest in maintaining and modernising reporting and data solutions during a systems transformation. Business Processes & User Support:
  • Interest in providing end-user support, troubleshooting, escalation, and issue resolution.
  • Awareness of Finance and Procurement processes or interest in learning about business domains. Collaboration:
  • Experience working in group projects, ideally in collaborative or Agile environments. Skills: Data & Analytics:
  • Excellent knowledge of SQL and relational databases.
  • Knowledge of data visualisation and analytics tools, particularly Power BI.

Processo di candidatura

  • By the application deadline, you have a maximum of two years of professional experience since graduation in Computer Science (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree .
  • You have never had a CERN fellow or graduate contract before.
  • Applicants without University degree are not eligible.
  • Applicants with a PhD are not eligible.
  • Job closing date: 30.08.2026 at 23:59 CEST.
  • Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Hybrid Target start date: 01-November-2026 This position involves:

Azienda e contesto

  • Work during nights, Sundays and official holidays, when required by the needs of the Organization. Job reference: FAP-BC-DL-2026-203-GRAE
  • Field of work: Data Science & Data Analytics Benchmark job: 200020 Computing Engineer Global Benefits
  • A monthly stipend between 5266-5793 Swiss Francs per month (tax free) depending on your degree.
  • 30 days of paid leave per year plus 2 weeks annual closure.
  • Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
  • Family, child and infant monthly allowances depending on your individual circumstances.
  • A relocation package (installation grant and travel expenses) depending on your individual circumstances.
  • Possibility to extend your contract up to 36 months.
  • On-the-job and formal training including language classes.
  • At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology.

Dettagli ulteriori

  • Your mission: analyse, improve, and help modernise reporting and data solutions, while supporting the transformation of CERN's enterprise systems and ensuring that future analytics needs are properly understood and addressed.
  • Experience analysing data structures, flows, and dependencies in complex enterprise systems.
  • Interest in maintaining and modernising reporting and data solutions during a systems transformation. Business Processes & User Support:
  • Awareness of Finance and Procurement processes or interest in learning about business domains.
  • Experience working in group projects, ideally in collaborative or Agile environments.
  • Ability to understand and document complex data structures, data flows, dependencies, and transformation logic. Data Governance & Quality:
  • Attention to detail and commitment to data accuracy. Technical Environment:
  • Comfortable in working with both new and legacy systems. Communication & Collaboration:
  • Spoken and written English, with a commitment to learn French. Eligibility criteria:
  • Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Hybrid Target start date: 01-November-2026 This position involves:

Note e contenuto originale

  • Your profile:
  • Data Engineering:
  • Interest in maintaining and modernising reporting and data solutions during a systems transformation.
  • Business Processes & User Support:
  • Collaboration:
  • Data & Analytics:
  • Ability to understand and document complex data structures, data flows, dependencies, and transformation logic.
  • Data Governance & Quality:
  • Attention to detail and commitment to data accuracy.
  • Technical Environment:
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