Data Analytics Specialist

10 ore fa

Milano, Lombardia, Italia SDG consulting Italia Spa A tempo pieno

Posizione

In SDG Consulting Italia Spa hai l'opportunità di diventare un esperto di Big Data & Analytics e di entrare a far parte di una delle società più all'avanguardia d'Europa in questo ambito. Potrai partecipare a diversi progetti nazionali e internazionali lavorando in team giovani e dinamici.

Vengono effettuate valutazioni periodiche di performance e acquisizione di skills che ti permetteranno di fare velocemente carriera nella nostra realtà. Avrai inoltre modo di costruire il tuo career path personalizzato scegliendo tra diversi percorsi.

Partendo da un livello base, attraverso training, coaching, mentoring, e un approccio never-stop-learning diventerai un esperto nella progettazione e sviluppo di pratiche con le quali far adottare ai nostri clienti un'ottica data driven.

Le tue sfide:

  • Acquisire una conoscenza dei big data & analytics a 360°: data architecture, data management, data visualization e data analysis;
  • Sviluppare hard skills nell'utilizzo delle tecnologie di business intelligence e soft skills per relazionarsi con il cliente e il proprio team di lavoro;
  • Capacità di muoversi e interagire in un ambiente internazionale, rapido e dinamico assumendosi gradualmente maggiori responsabilità e autonomia nei tasks;

Requisiti:

  • Tecnologia: SQL, VBA, R, Python, tecnologie di Business Intelligence, Data manipulation, Data Management;
  • Team player: un buon giocatore di squadra è una persona altruista, dinamica, entusiasta, resiliente e positiva;
  • Capacità di elaborare informazioni aziendali complesse e di presentarle con sensibilità agli stakeholder aziendali;
  • Conoscenza lingua inglese: B1/B2 (verrà testata in sede di colloquio);

Rock your future con SDG:

  • Academy interne e centri di eccellenza qualificati con possibilità di ottenere certificazioni per i tools più utilizzati nel campo dei big data & analytics;
  • Never stop learning: formazione continua per tutto l'arco della carriera con 80 ore di training iniziale e successiva attività di coaching e mentoring;
  • Ambiente internazionale e giovane: età media inferiore a 30 anni e possibilità di trasferte all'estero;
  • Smart & Remote working.

Caratteristiche del candidato

Lingue straniere:

  • Italiano: ottimo (C2);
  • Inglese: buono (B2-C1);

Titolo di studio:

  • Laurea (primo livello), Laurea Magistrale/ciclo Unico (secondo livello);

Area disciplinare:

  • Scientifico, ingegneria, economico-statistico;

Classe di laurea:

  • Ingegneria dell'informazione (L-8, 9);
  • Scienze e tecnologie fisiche (L-30, 25);
  • Scienze e tecnologie informatiche (L-31, 26);
  • Scienze matematiche (L-35, 32);
  • Statistica (L-41, 37);
  • Fisica (LM-17, 20/S);
  • Informatica (LM-18, 23/S);
  • Ingegneria gestionale (LM-31, 34/S);
  • Ingegneria informatica (LM-32, 35/S);
  • Matematica (LM-40, 45/S);
  • Scienze statistiche attuariali e finanziarie (LM-83, 91/S);
  • Sicurezza informatica (LM-66);

Tipo candidato:

  • Neolaureato, Laureato con esperienza;

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