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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

Auto-load
  • Data Office Trainee

    B&P Professionals
    Lisbon, Portugal
    Found 3 weeks ago
  • Working Student (f/m/d) Embedded Control

    NXP Semiconductors
    Munich, Germany
    Found 3 weeks ago
  • Product Application Engineer

    AMD
    Belfast, United Kingdom
    Found 1 month ago
  • Student assistant

    Technische Universität Berlin
    Berlin, Germany
    Found 1 month ago
  • Stagiaire – Calcul embarqué des pertes IGBT d’un onduleur moyenne tension (H/F)

    GE Vernova
    Belfort, France
    Found 2 months ago

Data Office Trainee

B&P Professionals
Found 3 weeks ago
Location
Lisbon, Portugal
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Data Management
  • Data Quality Control
  • Data Documentation
  • Data Governance
  • Microsoft Office Tools
  • Excel
  • Word
  • PowerPoint
  • data processing
  • analysis

Soft Skills

  • Adaptability
  • collaboration
  • analytical thinking

Job Description

You’ll join the Data and Digital team, specifically the Data Office, which drives best practices in Data Management across Securities Services. The Data Management Framework (DMF) defines the rules, processes, roles, and tools used to standardize data usage while ensuring compliance with regulations and corporate policies. Your role will involve maintaining and enhancing this framework, particularly in aligning with Group Data Office (GDO) and Information Technology Governance (ITG) requirements

Requirements

  • Master’s Degree in a business school, university or a data-related field
  • Fluency in English
  • Proficiency in Microsoft Office Tools, namely Excel, Word and PowerPoint
  • Foundational knowledge in data processing and analysis
  • Adaptability, collaboration, and analytical thinking

Related Field

  • Data & Analytics

Related Subfield

  • Data Management

Languages

  • English
▶Apply Now

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