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Intern - Data Management

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: EBRD
Apprenticeship/Internship position
Listed on 2026-11-07
Job specializations:
  • IT/Tech
    Data Analyst, Information & Knowledge Management
Salary/Wage Range or Industry Benchmark: 24000 - 30000 GBP Yearly GBP 24000.00 30000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

The Intern, Data Management supports the Data Management team in delivering data governance, data quality, metadata, reference and master data, and business data analysis activities across the EBRD.

Working under the guidance of experienced Data Management colleagues and alongside business and technology stakeholders, the role provides practical exposure to how enterprise data is governed, managed and used to support operations, reporting, decision-making and digital transformation.

This is a 12-month fixed-term internship or graduate entry role below Analyst level. It is intended to provide structured workplace experience for an early-career graduate and to create a potential talent pipeline into future Analyst, Data Management roles. Appointment to any future role would be subject to organisational requirements and the relevant recruitment process.

Accountabilities & Responsibilities Core Responsibilities
  • Assist with maintaining business glossaries, data standards, metadata, reference datasets, issue trackers and other governance artefacts.
  • Support data collection, data profiling, reconciliation, gap analysis and data quality investigations under guidance.
  • Help document data definitions, business rules, data requirements, process impacts, issues, decisions and testing outcomes.
  • Support testing activities, including preparation of test evidence, recording results and tracking issues to resolution.
  • Undertake desk research on data management, analytics, information management and artificial intelligence topics and summarise findings clearly.
  • Prepare draft reports, presentations, meeting materials and user guidance for review by Data Management colleagues.
  • Participate in stakeholder meetings and workshops, capturing information and following up agreed actions as directed.
  • Support the administration and continuous improvement of Data Management processes, tools, templates and ways of working.
  • Work collaboratively, manage assigned tasks responsibly and escalade questions, risks or issues promptly.
Learning and Development Focus
  • Build practical understanding of enterprise data governance, data quality, metadata, reference and master data management.
  • Develop foundational business analysis, data analysis, documentation and stakeholder engagement skills.
  • Gain exposure to the data foundations required for reporting, digital transformation and responsible use of AI.
  • Learn to work effectively within a professional, multicultural and cross-functional environment.
Knowledge, Skills, Experience & Qualifications Knowledge
  • Foundational understanding of data, information systems, databases, analytics or artificial intelligence gained through education or practical projects.
  • Interest in data governance, data quality, metadata, business analysis and the responsible use of data and AI.
  • Awareness of data analysis, visualisation, programming or database concepts is desirable.
Experience
  • Prior professional experience is not required. The role is suitable for a recent graduate seeking a first or second professional role.
  • Academic, voluntary, placement or personal project experience involving data, technology, analytics, AI, research or structured problem-solving is desirable.
  • Experience working collaboratively on group assignments or projects and communicating findings to others is desirable.
Skills
  • Strong analytical curiosity and a structured approach to problem-solving.
  • Good attention to detail and willingness to check the accuracy and completeness of work.
  • Clear written and verbal communication skills, with the ability to explain technical or data-related topics in accessible language.
  • Good organisational skills and ability to manage assigned tasks and deadlines with guidance.
  • Collaborative, inclusive and willing to learn from…
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