Current Vacancies at Old Mutual South Africa

Job Description

The Data Visualization Specialist assists customers (and advisers) in understanding their financial life. They leverage data visualization techniques to simplify complex financial information, drive informed decision-making, and ultimately empower clients to take control of their financial futures. They oversee the entire process of creating visual analytical applications, from designing mock-ups and storyboards to delivering a fully functional final product

Key Focus Areas:

• Data analysis to understand data patterns and relationships.
• Conceptualises and architects creative ideas & concepts for different applications for clients and advisers. 
• Collaborate with various team to create mock-ups and storyboards to plan the visualization design.
• Apply design principles to create visually appealing and easy-to-understand visualizations.
• Select and use appropriate visualization techniques (charts, graphs, maps, images)  tools to rapidly generate impactful, interactive visualisations.
• Develop interactive dashboard that allow users to explore data and gain insights and understand complex trends and patterns .
• Ensure the accuracy and reliability of visualizations by conducting rigorous testing.
• Drives exciting developments in the data visualization arena including virtual and augmented reality, immersive analytics, Smartphone-friendly data visualizations, creating visualizations from data sources increasing in both variety and complexity, and emerging cognitive frameworks.
• Redefines internal customer experiences by improving the effectiveness and accuracy of visualized data in capturing critical insights from business data through harnessing natural language processing abilities, AI and machine learning.
• Overall, good data visualization should simplify data. It should make analytical tasks, such as making comparisons or understanding causality, providing insights into a data set, exposing and recognizing patterns or relationships easier and more effective. The best uses of data visualization will have a balance between form and function. This meaning the visual representation of data should not only be visually attractive, but also informative. 

Qualifications and requirements:

• Degree /3 year Diploma in Graphic Design/ Data Science, Statistics
• Minimum of 3 – 5 years’ experience in a data visualisation role in an Analytics or Data Science team
• Experience in Data Visualisation software (e.g. Tableau, PowerBI, Qlik etc.) 
• Experience in MS Office suite (such as PowerPoint) and design tools (e.g. Adobe Photoshop, Canva, Piktochart)
• Demonstrated experience in modern visualisation tools and techniques with a portfolio of examples
• A grasp of user experience (UX) and user interface (UI) design principles is important for creating user-friendly and intuitive dashboards and interfaces
• Familiarity with financial products that allows for the creation visualizations that are contextually relevant.
• Understanding of basic statistical concepts to choose appropriate visualization techniques and accurately represent data
• The ability to interpret data accurately and extract meaningful insights .
• The ability to tell a compelling story through data.