Junior Data Analyst - Internship

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Angajator: Pirelli
Domeniu:
  • IT Software
  • Tip job: stagiu de practica
    Nivel job: Student/Absolvent
    Orase:
  • Craiova
  • Actualizat la: 04.04.2018
    Remote work: On-site
    Scurta descriere a companiei

    Pirelli is open to the best people. It looks for talent both inside and outside the Company, encouraging and developing potential.
    At Pirelli you will be working with professionals at the top of their game. We are a global company drawing on talent, where people are encouraged to develop their skills and perform to the best of their abilities – whether you join as graduates or later in your career. We are dynamic, international and multicultural environment, which values collaboration and strong working relationships.
    Working at Pirelli is an opportunity to develop your skills and professional knowledge.

    Cerinte

    Ideal qualification, experiences and attitudes:

    • Degree in Mathematics, Computer Science, Information Management, or related area.
    • Very good command of English, spoken and written.
    • Attitude to work in team.
    • A high attention to detail.
    • Strong analytical and problem solving skills.
    • Be flexible and adaptable in approach to role.

    Desirable Skills

    • Computer skills in Excel and some knowledge of business intelligence and data visualization tools (e.g. QlickView, OBIEE, Oracle, Oracle Data Integration…).
    • Strong analytical skills and ability to collect, organize, analyze hard data and soft information.
    • Good written and verbal communication and presentation skills.
    • Flexibility, availability, ability to multi-task.
    • Ability to identify improvement areas and to proactively suggest and implement changes.

    Responsabilitati

    Key responsibilities include:
    Inspecting, cleaning, updating data coming from different sources before they can be used for forecasting and analysis.
    Reporting data issues, identification and implementation of corrective actions through connection with people internal to the organization.
    Preparation of reports for internal stakeholders, either updating existing reports or providing data to ad-hoc enquiries.
    Identification of new data sources and processes to help streamline the data quality and completeness efforts.
    Extract, cleanse, transform and load data from external sources.

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