We focus on building a strong culture of data-driven decision-making, and humanising big data sits at the heart of our strategic planning. As we continue to develop impactful solutions to power the success of our business, data-driven insights are our biggest ally in navigating the fast-changing technological landscape. We are looking for hands-on, motivated self-starters who are driven to leverage the power of using data to drive informed business decisions.


Job description

  • Build data visualisation and dashboard for the business;
  • Deliver accurate regular and ad-hoc performance tracking and analysis to drive traffic, transactions and processes;
  • Ad-hoc analysis based on strategic direction of the business and deep dive into specific area / trend;
  • Make recommendations based on historical data and predict trends;
  • Design, develop and implement statistical models, as well as interpret and present statistical outcomes to support the organisation’s operations and execution of key business strategies;
  • Design and conceptualize solution that address the organisation’s challenges through use of big data analytics and process large amount of data by applying algorithms;
  • Collaborate with stakeholders to build data analytics capabilities, conduct feasibility studies;
  • Devise methods and strategies to obtain and extract data to derive business insights.


  • Degree holder preferably in a technical field such as Computer Science, Engineering, Statistics, etc; or Degree holder in a business related field as long as there is a strong interest in data analysis;
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources;
  • Experience and knowledge of analytical and statistical modelling techniques: hypothesis development, designing tests/experiments, analysing data, regression (multiple, logistic, log-linear), neural network, decision tree, variable selection, etc;
  • Experience working with data visualization to inform decisions;
  • Excellent working knowledge of data analysis with Python, R, SQL or other advanced programming languages;
  • Good communications skills in English;


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