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Managing a data project

Managing a data project involves understanding, planning and implementing the stages of a data project to solve a problem or design and improve a service.

Citée du UK GDaD PCF.

Niveaux

1. Sensibilisation

You can:

  • understand a problem statement and explain the intended outcome of a data project
  • explain the importance of data in solving a problem
  • explain why it's important to adapt your ways of working to deliver different project outcomes and requirements
2. Pratique

You can:

  • contribute to defining problem statements and gathering project requirements
  • explain the importance of different processes and stages of the data project life cycle and contribute to their planning
  • adapt your ways of working to deliver different project outcomes and requirements
3. Confirmé

You can:

  • identify and define a problem statement
  • apply and share project management methodologies, including tools and techniques
  • plan and implement different stages of the data project life cycle
  • communicate progress of data projects with stakeholders
  • adapt teams' ways of working to deliver different project outcomes and requirements
4. Expert

You can:

  • advise on problem statement development, ensuring standards are met
  • oversee and advise on the planning and implementation of the project life cycle on varied data projects
  • share good practice in adapting teams' ways of working to deliver project outcomes
  • lead and develop stakeholder relationships for your team's data projects

Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

Compétences ESCO les plus proches

Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.

Niveaux de rôle qui attendent cette compétence

Niveau de rôleRôleBandeNiveau attendu
Analyste de données adjointAnalyste de données5Sensibilisation
Analyste de donnéesAnalyste de données6Pratique
Analyste de données seniorAnalyste de données7Confirmé
Analyste de données principalAnalyste de données8bExpert