IT Data Visualisation Engineer for an AI and Machine Learning Company


Purpose

If you have a passion for data analytics, and wants to make an impact by designing and building visually intuitive, information-rich data products, this is your opportunity. In this position, you will be a torchbearer for data visualisation and UI design, and the incredible results it brings in organizations.


Responsibilities

  1. Shape our data visualisation and UI design consulting business by leading business development efforts and consulting projects
  2. Gathering and documenting client requirements and translating these into process and UI architecture designs
  3. Providing thought leadership and actively participating in the application design, implementation, and roll-out of the solutions
  4. Act as a trusted advisor for data visualisation solutions and services for our clients and prospects
  5. Design and develop eye-catching data visualisation demos and storylines, adding to and expanding the services
  6. Spearhead the evangelisation of and demonstrate the power of data visualisation and UI design by teaching, leading community activities and by building reusable assets


Requirements

  1. Relevant data visualisation and UI design experience (i.e. visualising complex data, designing data-rich user interfaces, data-driven design and development of charts, dashboards and infographics etc.), ideally in a consulting function
  2. Result oriented self-starter, with an ability to lead and mentor other team members
  3. Experience in designing, building, deploying and maintaining scalable, highly available and performance optimized data visualization solutions for enterprise
  4. Combine an analytical and creative approach to problem solving and have business strategy skills to ask the right questions and find the right answers to build the solutions necessary
  5. Be a clear, confident and persuasive communicator, with excellent presentation skills and with the ability to structure a coherent, logical argument and the confidence to defend assumptions, projections and recommendations
  6. Strong client communication and consulting skills. Should be able to lead conversations across all levels of an organization
  7. Ability to understand and challenge constraints, and recommend alternative choices
  8. Solid understanding of analytical data applications, open source solutions, and technologies, e.g. Elastic Stack, Solr, R, etc.
  9. A passion for data visualisation and a keen design sense, with an eye for what makes a visual design aesthetically pleasing and intuitive to use
  10. Understanding of Design Thinking