Specialist, Data Visualisation

  • الراتب:
    قابل للتفاوض
  • نوع الوظيفة:
    دوام كامل
  • تاريخ النشر:
    شهرين مضت
  • التصنيف:
    وظائف تكنولوجيا المعلومات, وظائف هندسية
  • آخر موعد للتقدم:
  • اللغات:
    العربية, الانجليزية
  • الجنس:


• Identify user requirements, intended purposes and use of foresights and insights products and user experience aspirations.

• Identify and apply legal and regulatory requirements that apply to data visualisation for foresights and insights products.

• Identify and apply best practices and non-regulatory conventions that apply to data visualisation for foresights and insights products.


• Research, test and prototype static and dynamic visualisation tools, systems and new methods.


• Design intuitive and attractive static and interactive data visualisations (e.g., heat maps, histograms, scatter plots, graphs and charts).

• Design layouts and displays following designs, quality standards and specific content types.

• Prepare concepts for transforming data sets and analysis into visual narratives.

• Apply internal abstract data visualisations for different data sets using machine learning algorithms and A/B testing.

• Apply data mapping for spatial data; develop or recommend the acquisition of programmes that can generate spatial data displays.

• Define content requirements and user directions for data communication in different displays.

• Enable users to select different visual displays, linked to different parameters and axes and apply visual querying; enable visual analytics and interoperability with different software; enable exploratory analysis through interactive analytical capabilities.

• Apply R integration and web-based programming to provide advanced capabilities and self-service.


• Prepare test protocols and test scripts to test visualisations in a variety of contexts against relevant criteria (e.g., accessibility, interoperability).


• Contribute to Section projects, as required, e.g., with plans and reports.


• Carry out work tasks, as instructed.

• Comply with SCAD policies and procedures.

• Maintain own knowledge and develop expertise in data visualisation and related domains.

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