The global skills and competency framework for the digital world

SFIA View: SFIA 9 Data science, data engineering and analytics

SFIA 9 Data science, data engineering and analytics

We have designed SFIA to be flexible. SFIA users have developed this view of SFIA to provide a quick start identification of the SFIA skills which are most relevant to big data/data science

SFIA provides a common language throughout the people and skills management cycle.  This improves communication and understanding for all involved e.g. business and technology leaders, front-line managers, employees, HR, learning and development, students and academic institutions.

Data science, data engineering and analytics skills at a glance

The skills at a glance page provides a one-page summary of the SFIA Big data/Data science related skills and competency levels.

How to use the Data science, data engineering and analytics view

We have also published advice and guidance to help you use SFIA and the data science, data engineering and analytics view. These pages are in English only.

As with all applications of SFIA; you should consider the big data/data science view against your specific organisational context and business objectives.

  • The intention is not to draw a hard boundary around these skills or to imply that other SFIA skills are not appropriate.
  • When you are familiar with this view - it is likely that you will refer to the full SFIA framework for additional and complementary skill definitions.

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