Job Details
  • Reference366066A_1605786268
  • LocationCanberra
  • Job TypeContract
  • Posted7 months ago
  • ConsultantSoham Dingare

As one of the Australia's largest providers of human resources solutions, Chandler Macleod has a proven track record of unleashing potential in people and companies. For over 40 years Chandler Macleod's recruitment business has connected leading-edge projects and employers with outstanding business professionals.

Our Federal Government client is seeking to engage an EL1 Data Visualisation Officer on a until June 2021, with potential extensions of 12 months.

Position Overview

The client's web analytics are a rich source of insights on the behaviour and outcomes for all Australians. With hundreds of billions of data points, analysis can be overwhelming. Data visualisation is key to finding and highlighting key insights and measuring improvements. A data visualisation specialist will be responsible for working with the data, dev, content and UX team members to understand user behaviour.

Our Ideal Candidate will have:

  • Ability to produce graphs, charts, animations and infographics based on web analytics and user data.
  • Excellent visual skills with demonstrated design knowledge such as layout, typography and color
  • Ability to work with large amounts of information and see the big picture
  • Critical thinking ability to look at numbers, trends and data and extract insights
  • Experience with data visualisation software such as Google Data Studio, Mathematica or Tableau
  • Experience with visual design tools such as Adobe Creative Suite or similar
  • Experience with a data visualisation programming language like R or python

Mandatory Requirements:

  • The successful candidate will be required to have a Baseline clearance.
  • Demonstrated experience with data visualisation libraries like D3, vis.js matplotlib, plotly
  • Experience visualising networks and relationships in databases such as Neo4j or Drupal
  • Any experience with neural training and AI visualisation using platforms such as Tensorflow

If you feel you are a suitable candidate submit your application by hitting "Apply for this job". Alternatively, you can call Soham Dingare on 02 6268 9949 or email for further discussion.