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
- Shape our data visualisation and UI design consulting business by leading business development efforts and consulting projects
- Gathering and documenting client requirements and translating these into process and UI architecture designs
- Providing thought leadership and actively participating in the application design, implementation, and roll-out of the solutions
- Act as a trusted advisor for data visualisation solutions and services for our clients and prospects
- Design and develop eye-catching data visualisation demos and storylines, adding to and expanding the services
- 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
- 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
- Result oriented self-starter, with an ability to lead and mentor other team members
- Experience in designing, building, deploying and maintaining scalable, highly available and performance optimized data visualization solutions for enterprise
- 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
- 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
- Strong client communication and consulting skills. Should be able to lead conversations across all levels of an organization
- Ability to understand and challenge constraints, and recommend alternative choices
- Solid understanding of analytical data applications, open source solutions, and technologies, e.g. Elastic Stack, Solr, R, etc.
- 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
- Understanding of Design Thinking