Descrizione dell'offerta
ABOUT THE ROLE
We are looking for an Ecommerce – Parts Ranges Data Specialist to manage, standardize and optimize product data for parts and accessories across multiple systems and sources. This role is essential to ensure high‑quality, consistent and reliable product information for our e‑commerce and marketplace platforms. You will work on complex product datasets, transforming heterogeneous information into a unified, structured and scalable data model that supports digital sales and customer experience. WHAT YOU WILL DO
In this role, you will: Collect, consolidate and harmonize product data from multiple sources (PIM systems, supplier feeds, ERP and internal databases). Map, merge and transform heterogeneous product information into a standardized data model Clean, normalize and enrich product data, identifying and correcting missing, inconsistent or incorrect attributes Enrich product information using reference databases, taxonomies and external sources. Ensure compliance with data quality standards (completeness, accuracy, integrity). Maintain data governance documentation including attribute dictionaries, naming conventions and validation rules. Collaborate with category managers, marketing teams, marketplaces and technical stakeholders to ensure aligned and reliable product content. Operate and optimize PIM/MDM systems supporting automation of data import, validation and enrichment workflows. Monitor data quality KPIs and contribute to continuous improvement of tools, processes and controls. WHO YOU ARE
You are a structured and detail‑oriented professional with a strong interest in product data and digital environments. You bring: 3–5 years of experience in Product Data Management, PIM/MDM, Data Engineering or ETL ‑focused roles. Experience in data extraction, transformation and validation Hands‑on experience with PIM/MDM platforms (Akeneo, Salsify or similar). Familiarity with ETL processes both manual and automated. Experience working in e‑commerce or marketplace environments Strong analytical mindset and attention to data quality. Ability to work effectively in cross‑functional teams Fluent in english OFFER
Salary range: from €38.000 to €44.000 that will be defined depending on the level of adherence of the candidate to the job requirements Collective Agreement: In accordance with the provisions of the Specific Collective Labour Agreement (CCSL – CNEL code: CO10), and in particular with regard to the classification within the third professional area. *At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.*
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We are looking for an Ecommerce – Parts Ranges Data Specialist to manage, standardize and optimize product data for parts and accessories across multiple systems and sources. This role is essential to ensure high‑quality, consistent and reliable product information for our e‑commerce and marketplace platforms. You will work on complex product datasets, transforming heterogeneous information into a unified, structured and scalable data model that supports digital sales and customer experience. WHAT YOU WILL DO
In this role, you will: Collect, consolidate and harmonize product data from multiple sources (PIM systems, supplier feeds, ERP and internal databases). Map, merge and transform heterogeneous product information into a standardized data model Clean, normalize and enrich product data, identifying and correcting missing, inconsistent or incorrect attributes Enrich product information using reference databases, taxonomies and external sources. Ensure compliance with data quality standards (completeness, accuracy, integrity). Maintain data governance documentation including attribute dictionaries, naming conventions and validation rules. Collaborate with category managers, marketing teams, marketplaces and technical stakeholders to ensure aligned and reliable product content. Operate and optimize PIM/MDM systems supporting automation of data import, validation and enrichment workflows. Monitor data quality KPIs and contribute to continuous improvement of tools, processes and controls. WHO YOU ARE
You are a structured and detail‑oriented professional with a strong interest in product data and digital environments. You bring: 3–5 years of experience in Product Data Management, PIM/MDM, Data Engineering or ETL ‑focused roles. Experience in data extraction, transformation and validation Hands‑on experience with PIM/MDM platforms (Akeneo, Salsify or similar). Familiarity with ETL processes both manual and automated. Experience working in e‑commerce or marketplace environments Strong analytical mindset and attention to data quality. Ability to work effectively in cross‑functional teams Fluent in english OFFER
Salary range: from €38.000 to €44.000 that will be defined depending on the level of adherence of the candidate to the job requirements Collective Agreement: In accordance with the provisions of the Specific Collective Labour Agreement (CCSL – CNEL code: CO10), and in particular with regard to the classification within the third professional area. *At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.*
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Informazioni aggiuntive
Opportunità: E-Commerce Parts Ranges Data Specialist a Torino, Piemonte
Sei alla ricerca di una posizione come E-Commerce Parts Ranges Data Specialist presso Altro a Torino? Di seguito trovi tutti i dettagli di questa offerta di lavoro.
Retribuzione indicativa: 38.000€ – 44.000€
Competenze valorizzate
- ERP
Lavorare a Torino
Torino è un importante polo industriale e tecnologico, con una solida tradizione nel manifatturiero e una crescente scena startup.
Settore: Gestione e operazioni
Competenze rilevate
Candidatura e Ritorno (in fondo)
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