The global skills and competency framework for the digital world

#1412 Addition of Level 4 to VISL change request accepted

The Data Analyst (Level 4, Standard Reference ST0118) standard defines a number of competencies aligned with VISL at level 4. These are less complex than the definitions in INAN.

Statements to consider adding:


  • Identify data sources to meet the organisation's requirement, using evidence-based decision making to establish a rationale for inclusion and exclusion of various data sets and models.
  •  Liaise with the client and/or colleagues from other areas of the organisation to establish reporting needs and deliver accurate information.
  •  Collect, compile and, if needed, cleanse data, such as sales figures, Digital Twins etc. solving any problems that arise, to/from a range of internal and external systems.
  •  Produce performance dashboards and reports in the Visualisation and Model Building Phase.
  •  Support the business by maintaining and developing reports for analysis to aid with decisions, and adhering to organisational policy/legislation.
  •  Produce a range of standard and nonstandard statistical and data analysis reports in the Model Building phase.
  •  Identify, analyse, and interpret trends or patterns in data sets.
  •  Draw conclusions/Recommend appropriate response/Offer Guidance/Interpretation.
  •  Summarise and present the results of data analysis to a range of stakeholders, making recommendations.
  • Provide regular reports & analysis to different management/leadership teams, ensuring data is used and represented ethically in line with relevant legislation.

Proposed change applies to Data visualisation

Current status of this request: accepted

What we decided

Accepted into broader review of big data and data science skills for SFIA 8.

What we changed

SFIA 8 has proposed new skills for Data engineering, Data science and Business intelligence - these can provide alignment to the statements in this change request.