Junior Data Analyst Life Cycle Assessment

03 ott - Varese
DID

DID S.r.l. ricerca un Junior Data Analyst – Life Cycle Assessment (LCA) per un incarico near-site presso un'Istituzione Europea a Ispra (VA), 2 giorni a settimana in sede. Di seguito il testo integrale dell'possibilità.

La preghiamo di verificare di possedere il livello di esperienza e le qualifiche adeguate leggendo la panoramica completa di questa opportunità qui sotto.
JOB OPPORTUNITY · EU INSTITUTIONS — Junior Data Analyst – Life Cycle Assessment
LCA · Environmental Footprint · OpenLCA / SimaPro · ILCD · Data Visualisation · Ispra (VA)

CLIENT: European Institution – research centre, Sustainable Supply Chains & Bioeconomy unit

PROFILE: Data Analyst – Junior level (LCA / Environmental Footprint)

WORK MODE: Near-site: 2 days/week on-site in Ispra (VA), Italy

CONTRACT: Time & Means, single specific contract (may be executed in phases)

EXPERIENCE: 2+ years relevant IT experience, incl. 2 years on LCA / EF data

EDUCATION: University degree – EQF Level 6 (Bachelor's) or higher

LANGUAGES: English B2 or higher (spoken and written)

MAX RATE: 280 € / day





BACKGROUND & MANDATE
DID S.r.l. is looking for a Junior Data Analyst with a background in Life Cycle Assessment for a near-site assignment with a European Institution in Ispra (VA), within the scientific unit working on sustainable supply chains and the bioeconomy. The consultant will collect, check, develop and maintain the data, databases and analytical workflows that support the qualitative and quantitative sustainability assessment of supply chains – from LCA datasets for key EU products and sectors to dashboards and communication products for science for policy. The environment is multicultural and multilingual, with strong emphasis on diligence, discretion and the handling of confidential data.

MAIN TASKS

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- LCA datasets & models: collect, clean, develop, check, document and maintain LCA datasets from literature, specialised databases and field data; build LCA models that enable LCA and EF analyses of ke

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