Lead and manage customers’ presentations and proposals and conduct monthly performance reviews together with customers and internal stakeholders
Develop an Annual customer call cycle (Planned and Unplanned Maintenance) to secure committed orders with new and existing customers and gain any competitor held businesses to ensure that individual agreed targets are achieved. This call cycle is to be created annually, reviewed quarterly and updated on a monthly basis.
Build a strong client relationship to ensure that the account performs and grows to its maximum potential, reducing attrition rate and minimizing opportunities for competitors to gain business.
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Conduct data analysis, define KPIs, and monitor performance metrics to surface improvement opportunities and inform prioritisation decisions.
Design and enforce standardised intake processes and SOPs for system enhancements and issue management, including lead times and escalation protocols.
Prepare and distribute structured stakeholder updates — weekly status reports, newsletters, and risk flags — to maintain visibility and drive timely decisions.
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Review aging accounts, disputed balances, and high-risk customers, implementing appropriate recovery actions and escalating critical issues as required.
Monitor collection performance metrics, including Collection Rate, DSO, and aging reports, and ensure accurate and timely reporting.
Maintain and review Management Aging Tracking Reports (MGTR) and provide collection insights, risk assessments, and corrective action recommendations to management.
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Design and develop high performance computing frameworks and storage systems.
Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major.
Experience programming in at least one of the following programming languages: C, C++, Java or Golang.
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Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.
Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
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Monitor, analyse and report on key performance indicators (KPIs) such as conversion rates, click-through rates, return on ad spend (ROAS) and customer acquisition costs
Conduct market research and competitor analysis to identify opportunities for improvement and growth in the e-commerce landscape
Collaborate with content creators and design teams to produce engaging marketing materials and product content
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