We’re looking for a candidate to fill this position in an exciting company.
Study complicate problems, provide source-to-target mappings and information specification documents for data sets
Mining data from primary and secondary sources, and organise these unstructured data into custom-formatted structured data reports that can be easily read by either human or machine
Perform data preparation of datasets that fulfils the project requirements
Utilise statistical tools to interpret complex data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
Analyse and recommend specific types of data that can be used to improve to derive features and rules
Create Contextual-based Artificial Intelligence models and Multi-variate advanced algorithms that paints the full picture of the situation and supports decision-making with actionable feedbacks
Develop, create best-practice reports based on data mining, analysis and visualization implement
Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
Perform complete life cycle data generation and translate data that effectively communicate trends, patterns, and predictions into critical and coherent information for executive leadership
Support system testing and evaluation activities including onsite acceptance testing to validate and improve the models and algorithms.
Diploma in Computer Engineering, Computer Science, Statistic or related disciplines
An analytical mind with attention to details for large datasets, and inclination for problem-solving
Generate comprehensive technical writings including queries, reports and presentations
Technical skills include Hands-on experience of Python and/or R; spreadsheet tools such as Microsoft Excel and/or Google Sheets; data visualization software such as Tableau and/or Qlik or any other relevant analytic tools
A team player with excellent verbal and written communication skills to communicate with the wider business and functional groups