Data Governance Intern
Seniority
Sede
Descrizione Azienda
Banca CF+ S.p.A., is a Challenger Bank specialized in business loans that offers factoring services, purchase of tax credits and short and medium-term financing of companies.
The Bank's culture is based on the centrality of data and technology and that only through these two levers it is possible to innovate and revolutionize the banking sector for the benefit of customers (and also shareholders).
Posizione
Banca CF+ is looking for a Data Governance Intern in Rome to support the organization in managing corporate data, ensuring its quality, accessibility, and traceability through advanced cataloging and data lineage tools.
The candidate will carry out the following activities:
- Support Data Owners in data management by providing training and guidelines.
- Draft and maintain a DataZone user manual, facilitating the adoption of the platform as the corporate Data Catalog.
- Ensure the active enrichment of the Data Catalog, collecting and validating key data information such as location, meaning, and usage rules.
- Define and maintain Data Quality rules, supporting the Data Lineage process, ensuring complete traceability and reliability of data flows within the Bank.
- Collaborate with IT and Business teams to promote data governance and improve data management across the organization.
Requisiti
- Bachelor’s or Master’s degree in Statistics, Physics, Mathematics, Computer Science, Engineering, Economics, and similar quantitative subjects;
- Ability to work with both technical and business teams, translating business needs into data-driven solutions;
- Proactive mindset, autonomy, and willingness to contribute to the growth of a data-driven culture within the organization.
Nice to have:
- Previous experience in the lending and/or Fintech industry is welcome;
- Knowledge of Data Catalog and Data Lineage tools, preferably AWS DataZone or similar solution;
- Proficiency in SQL for querying and analysing data;
- Experience with data visualization and reporting tools (Looker, Tableau, Metabase, etc.);
- Personal projects on GitHub related to data management and analysis.
Altre informazioni
The selection is aimed at both sexes (L.903/77 and L.125/91); candidates are invited to read the privacy policy (art.13, GDPR 679/16 – "European Regulation on the protection of personal data").
Processo di candidatura
- 1
Step 1
Inserisci i tuoi dati personali: nome, cognome, email, telefono, titolo di studio e ultima esperienza di lavoro.
- 2
Step 2
Effettua l’upload del tuo curriculum vitae aggiornato in formato PDF.
- 3
Step 3
Se vuoi, condividi con noi una lettera di presentazione.
- 4
Step 4
Clicca su Invia per completare il processo di candidatura.