Job Purpose<\/p>\n
\tCollect, analyse, report, and interpret data for use in the development of business strategies, extract quantifiable insights from past trends and current conditions to increase TIH’s profitability and improves relationship’s with clients and stakeholders. Build and maintain predictive and machine learning models with guidance from managers.<\/p>\n
Responsibilities<\/p>\n
Advanced and Predictive Analytics<\/p>\n
\tEmploy machine learning techniques and build predictive, descriptive, and behavioral models to help achieve various business performance indicators and to help identify business opportunities, linking insights to actionable recommendations. Receive manager sign-off for the machine learning analytics.<\/p>\n
Data Exploration<\/p>\n
\tPerform complex statistical analysis and utilise mining, modeling, and testing techniques to enable data analysis.<\/p>\n
Information and Business Advice<\/p>\n
\tProvide specialist advice on the interpretation and application of policies and procedures, resolving queries and issues and referring very complex or contentious issues to others.<\/p>\n
Insights and Reporting<\/p>\n
\tPrepare and coordinate the completion of various data and analytics reports for top management. \u00a0
\n\tFor ongoing reporting to business, assist in the automation of the various data and analytic reports.<\/p>\n
Business Requirements Identification<\/p>\n
\tSupport collection of business requirements using a variety of methods such as interviews, document analysis, and workflow analysis to express requirements clearly and succinctly.<\/p>\n
Stakeholder Engagement<\/p>\n
\tAssist with stakeholder engagement by arranging actions, meetings, events, and supporting materials to promote stakeholder understanding and commitment.<\/p>\n
Project Management<\/p>\n
\tWork within an established project management plan to achieve specific goals.
\n\tImplement data analytic projects from start to finish and manage stakeholders throughout the project. Communicate the project status back to business or within the team.<\/p>\n
Continuous Improvement<\/p>\n
\tContribute to reviewing existing operations in own area of work and generate new ideas to assist in identifying continuous improvements.<\/p>\n
Data Management<\/p>\n
\tHelp others get the most out of data management systems by providing support and advice.
\n\tEnsure that data is accurate and is aligned to policies and procedures set out by TIH.<\/p>\n
Personal Capability Building<\/p>\n
\tDevelop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.<\/p>\n
Performance Management<\/p>\n
\tPrioritise own workflow and ensure work is completed to the required standards of productivity, quality and timeliness; use performance management systems to improve personal performance.<\/p>\n
Education<\/p>\n
\tGrade 12\/ SAQA Accredited Equivalent (Essential); 3 year degree in Information Technology \/ Sciences \/ Informatics \/ Applied Mathematics \/ Statistics \/ Quantitative sciences \/ Actuarial sciences \/ Data Mining \/ Economics (Essential); Master\u2019s Degree in Information Technology \/ Sciences \/ Informatics \/ Applied Mathematics \/ Statistics \/ Quantitative sciences \/ Actuarial sciences \/ Data Mining \/ Economics (Advantageous)<\/p>\n
Experience<\/p>\n
\t3 to 5 years working experience within an analytical, data science or computer science environment (Essential); Data analytics and optimisation using the latest statistical tools and packages (Essential); Experience in financial insurance environment (Advantageous).<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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